Van Data Team is a Vietnam based, founder led engineering practice that builds agentic BI reporting systems for $25K to $80K, roughly 70 to 80% less than US firm pricing for equivalent scope. We ship multi agent LangGraph workflows on top of your existing warehouse, with a governed semantic layer, validation gates, and a full eval suite.
Not a generalist consultancy reselling Snowflake Cortex, not an AI first agency shipping demos, not a freelancer wiring a single text to SQL chain.
Everything below is what we would say on a 30 minute discovery call, including when we would tell you not to hire us.
Agentic BI is a multi agent runtime that queries a governed semantic layer on demand. Instead of analysts writing SQL and building dashboards for every business question, AI agents orchestrated through frameworks like LangGraph handle planning, querying, validation, and narrative generation. The human analyst shifts from frontline answer producer to system designer who curates metrics and handles edge cases.
Van Data Team is a Vietnam based, founder led AI agent and data engineering practice. We have shipped agentic systems for clients across automotive RAG (eManuals AI), B2B research workflows (GoAlice AI), Fortune 500 BigQuery vendor pipelines, and finance reporting acceleration on dbt + BigQuery. The patterns below are the ones that survived production.
Our Agentic BI & Reporting service line ships an end to end agent runtime that pulls KPIs from your warehouse, runs anomaly detection, drafts narrative summaries, and delivers them through Slack, email, or an embedded panel inside your product. The deliverables are concrete, not vague:
Semantic layer audit and extension on dbt metrics, MetricFlow, Cube, or LookML, with a complete metric inventory and a gap report against your top 25 recurring questions.
A multi agent runtime (planner, SQL generator, validator, executor, visualizer, narrator) wired through LangGraph with persistent state and human in the loop interrupts wherever finance risk is highest.
MCP integration with your warehouse (BigQuery, Snowflake, or Postgres) so the agent never holds raw credentials and every tool call is fully auditable.
An eval suite of 80 to 150 baseline questions with a target accuracy threshold. This is the artifact that lets you tell your CFO "this system passes a real test."
Delivery surfaces wherever decisions actually happen: a Slack bot, a web chat, an embedded panel in your product, or a scheduled exec briefing.
Action logs, latency telemetry, cost telemetry per query, and a drift dashboard for accuracy regression.
Runbooks, prompt versioning, a semantic layer change process, and a 30 day optimization window after launch.
If you're weighing whether to replace Tableau with AI agents, our typical recommendation is to wrap, not replace. Tableau, Power BI, and Looker stay as the canvas. The agent handles the recurring questions, the long tail asks that swamp your analysts, and the executive narratives nobody has time to write. The dashboards become reference material rather than the workflow.
You can't replace Tableau with AI agents using only the native AI features in Tableau, Power BI, Snowflake Cortex, or ChatGPT for teams with anything beyond trivial business logic. Three predictable failure modes keep repeating across enterprise pilots.
Single shot LLMs choose visualizations like an undergrad with five minutes: time series in pie charts, categorical comparisons in scatter plots, and unreadable labels everywhere.
How we solve it
A dedicated visualization agent receives the typed result schema and selects from a constrained palette using deterministic heuristics plus an LLM tiebreaker.
Raw text to SQL agents guess the table, the date column, gross versus net, and refund logic. Two analysts can ask the same question and receive two different plausible numbers.
How we solve it
A governed semantic layer where the agent selects metrics, not raw columns. The semantic contract becomes the single source of truth.
The dangerous failure is SQL that runs and returns rows while still being wrong: a bad join multiplies revenue, or a missing WHERE excludes an entire region.
How we solve it
A validation agent runs schema checks, EXPLAIN based join cardinality estimation, metric definition matching, and small sample dry runs before execution.
Native tools optimize for the demo. Custom agentic BI Reporting services optimize for the audit. If your CFO will see the answer, you need the audit version.
Choosing agentic BI Reporting services is a four way decision. Each option wins in a different scenario. The mistake is buying based on geography or brand instead of actual fit.
Most engagements follow a three step path that is deliberately low risk on entry and predictable in delivery.
A 30 minute working call with the founder, not a sales pitch. We review your current reporting workflow, your warehouse and semantic layer setup, the top recurring questions your analysts get swamped with, and what good looks like for your team.
The full multi agent system: discovery, architecture, agent development, MCP integration, eval suite, deployment, and a 30 day optimization window after launch. Weekly delivery reporting. Most builds ship in 8 to 14 weeks.
A retainer after launch for eval expansion, prompt tuning, semantic layer growth, and incident response. This is what keeps the system above 90% accuracy six months in. Teams that skip this typically see drift below 80% within four months.
VanDataTeam is proud to partner with 150+ leading companies across 15+ countries, building lasting success through production grade AI Agent systems and data engineering expertise.
Ahrvo
Banking, Payments & Compliance API
Athenahealth
Clarify IQ
Cleargen
Conversion Finder
Debit My Data
Ellipsis Earth
Litter and pollution intelligence
Finance Scaler
Forskningslogen Friederich Munter
HBC
Hello Alma
Hudson's Bay Company
Kejora
Kiki AI
Lunada
OBJX
Praxis AI
Human-First Digital Twin AI
Rarity Capital
Re Talk Py
Setmore
Stock Exploit
Supply Bridge
Thrive 5 IR
Voodoo
Iconic apps and games
Wajooba
White Ribbon Alliance
With Words
You Heal
Ahrvo
Banking, Payments & Compliance API
Clarify IQ
Conversion Finder
Ellipsis Earth
Litter and pollution intelligence
Forskningslogen Friederich Munter
Hello Alma
Kejora
Lunada
Praxis AI
Human-First Digital Twin AI
Re Talk Py
Stock Exploit
Thrive 5 IR
Wajooba
With Words
Athenahealth
Cleargen
Debit My Data
Finance Scaler
HBC
Hudson's Bay Company
Kiki AI
OBJX
Rarity Capital
Setmore
Supply Bridge
Voodoo
Iconic apps and games
White Ribbon Alliance
You Heal
Ahrvo
Banking, Payments & Compliance API
Cleargen
Ellipsis Earth
Litter and pollution intelligence
HBC
Kejora
OBJX
Re Talk Py
Supply Bridge
Wajooba
You Heal
Athenahealth
Conversion Finder
Finance Scaler
Hello Alma
Kiki AI
Praxis AI
Human-First Digital Twin AI
Setmore
Thrive 5 IR
White Ribbon Alliance
Clarify IQ
Debit My Data
Forskningslogen Friederich Munter
Hudson's Bay Company
Lunada
Rarity Capital
Stock Exploit
Voodoo
Iconic apps and games
With Words
From raw data trapped in spreadsheets, SFTP drops, Slack channels, and unstructured PDFs, Van Data Team has shipped end to end BI and reporting systems that drive real operational decisions. Below are 15 standout Agentic BI & Reporting case studies.
Credit Club - Papur
2025
LLM cost saved
Operating cost
Credit Club is a high-performance UK sales organization where team leads were chasing daily KPI numbers across spreadsheets. Van Data Team built a Slack-driven KPI tracking platform: Claude 3.5 Haiku extracts structured KPIs from unstructured Slack messages, Pydantic v2 validates every record, BigQuery stores partitioned data, and a multi-tab Plotly Dash dashboard with role-based access replaces the spreadsheet workflow.
Intelligence
2024 - 2025
Database connectors
Unit tests
Pareto Intelligence helps healthcare organizations forecast Stars rating outcomes for Medicare Advantage contracts. Van Data Team built an enterprise SaaS platform with scenario planning over JSONB-backed baselines, a parameterized query-template system with role-based access, multi-DB connectors for Postgres, SQL Server, Redshift and Pinot, alerting with cooldowns, and PDF, Excel and PowerPoint exports. Deployed to AWS ECS Fargate via Terraform with Okta SSO.
Luxury Loyalty KPI
2024 - 2025
Reporting sections
Time comparisons
A high-end retail destination with a tiered Insider, Prestige and Elite loyalty program needed end-to-end reporting on member engagement and purchases. Van Data Team built an SFTP to Cloud Storage to BigQuery ETL pipeline ingesting four loyalty domains, plus an MTD, YTD and YoY KPI engine with leap-year-aware date math, delivered through Excel reports, Google Sheets publishing and an interactive Streamlit dashboard on Cloud Run.
NEMWEB Dispatch
2024
Ingestion cadence
Market coverage
An energy market analytics team needed near real-time ingestion of Australian electricity dispatch reports from NEMWeb. Van Data Team built an AWS Lambda scheduled job scraping the latest dispatch zip every five minutes, dual-storage in S3 raw plus DynamoDB structured records with composite IDs, and an interactive Plotly Dash app for analysts to compare 19 dispatch metrics across NSW, QLD, SA, TAS and VIC.
Alliance
2023 - 2024
Public dashboards
Localization
White Ribbon Alliance collects millions of survey responses globally via WhatsApp and SMS bots on RapidPro and TextIt. Van Data Team delivered a nightly Python ETL syncing into BigQuery with schema evolution, a GDPR-compliant contact removal workflow, and a public-facing multi-campaign Plotly Dash app deployed via App Engine subdomain routing for whatwomenwant.whiteribbonalliance.org and midwivesvoices.whiteribbonalliance.org with pre-cached translations and word clouds.
Envoy
2024
Tickets processed
False positives
Envoy needed consolidated lead intelligence from Marketo paired with team execution metrics from Atlassian JIRA. Van Data Team built a two-component Python toolkit: a Marketo extractor with OAuth 2.0 refresh and 18 custom field mappings, plus a parallel JIRA analyzer using ThreadPoolExecutor with thread-local sessions, an ADF parser, smart missing-info detection and five mutually exclusive ticket categories. Output sized for downstream Claude API consumption around 49K tokens.
Stage 2 Stocks
2024
NSE tickers tracked
BSE scrape cadence
Stage2Stocks powers a retail investor app surfacing stocks transitioning into Stage 2 uptrends. Van Data Team built a partitioned PostgreSQL data model, integrated investpy for OHLCV plus market cap, P/E and beta, implemented the Weinstein stage classifier using SMA-200 slope, computed market-cap-weighted industry indices, and shipped a five-minute BSE corporate-announcements scraper with Telegram bot pushes. Heroku-deployed updater syncs to Supabase.
Polygon.io data lake
2024
API endpoints ingested
Indicators + patterns
A quantitative analytics client wanted an institutional-grade market data lake on Polygon.io instead of relying on third-party dashboards. Van Data Team delivered Hive-partitioned S3 ingestion for quotes, news, dividends and financials, a dbt-Athena project, a pure-pandas indicator engine for MACD, Bollinger, RSI, stochastic, MFI and OBV with full pytest coverage, and an interactive Plotly Dash dashboard with on-chart pattern annotations.
Tableau to Power BI
2024
Translation engine
Output validation
A client needed to migrate an existing Tableau reporting environment to Microsoft Power BI without manually recreating dashboards. Van Data Team delivered a Python utility that authenticates via PAT, downloads workbooks via REST API, unzips TWBX packages, reads Hyper extracts via tableauhyperapi, and uses OpenAI to convert dashboard and datasource XML into Power BI-compatible JSON with strict schema validation and proper data type mapping.
Marketing ETL
2023 - 2024
Ad platforms integrated
Load pattern
A retail commerce analytics team needed scheduled, reliable ingestion of ad-platform data into Snowflake to power cross-channel KPI dashboards. Van Data Team stood up a dockerized Airflow 2.3.1 platform with dedicated DAGs for Google Ads, Twitter Ads, Snapchat Ads, TikTok Ads and Salesforce, plus a separate Azure-hosted Criteo Retail Media extractor populating MS SQL Server. Every source uses staging-table plus MERGE for exactly-once semantics.
Brand sentiment
2024
Cost optimization
Concurrency design
A digital PR and marketing team needed an online reputation tool to triage URLs by brand sentiment without burning tokens on irrelevant pages. Van Data Team built a Streamlit dashboard that ingests multi-sheet Excel workbooks of URLs, scrapes pages concurrently via ThreadPoolExecutor with 10 workers and single-session reuse, filters for brand keywords, then sends only matching URLs to GPT-4o for Positive, Neutral or Negative classification. Output is a two-sheet Excel ranked from most negative to most positive.
Van Data Team builds CFO grade agentic BI systems on top of your existing warehouse: BigQuery, Snowflake, dbt, or LookML. Governed semantic layers, validation agents, eval suites of 80+ baseline questions, and native Slack delivery. The same senior engineer who scopes your build also hardens it in production.
Verified review signal
5.0
71 reviews on Upwork
Chod S.
5.00February 25, 2026
Data Extraction & Automation Engineer for Large Document Repository
Verified rating captured from the shared Upwork review screenshots.
Chris K.
5.00December 30, 2025
FT Platform Phase #2
"Great backend developer, highly recommend!"
Gilad B.
5.00December 18, 2025
Phase 0: Design a granular data schema and structure, and full tool flow
"Very knowledgeable and professional. Good communication"
Chris K.
5.00December 5, 2025
BQ Pipeline Automation + Lightweight API
Verified rating captured from the shared Upwork review screenshots.
Ari B.
5.00November 25, 2025
30 minute consultation
Verified rating captured from the shared Upwork review screenshots.
Tomer S.
5.00September 9, 2025
Data handling
Verified rating captured from the shared Upwork review screenshots.
Julio D.
5.00July 16, 2025
Web scraper in R
"Tran was great, very knowledgeable and quick responses"
Jason Y.
5.00June 13, 2025
Flowise N8N AI Agent Builder
Verified rating captured from the shared Upwork review screenshots.
Adam P.
5.00May 26, 2025
scrape data for research project
Verified rating captured from the shared Upwork review screenshots.
Dillon M.
5.00May 16, 2025
30 minute consultation
Verified rating captured from the shared Upwork review screenshots.
Bernard V.
5.00May 12, 2025
30 minute consultation
Verified rating captured from the shared Upwork review screenshots.
Preska T.
5.00April 10, 2025
LLM
Verified rating captured from the shared Upwork review screenshots.
Madison M.
5.00March 31, 2025
Review Git Pull Requests
"Very responsive and quick to get started! Produced excellent results. I will definitely reach out again in the future."
David C.
5.00March 29, 2025
You will get AWS, GCP and Azure Data pipeline
"Great platform to interface with developer."
Alex J.
5.00February 18, 2025
You will get Data Scraping | Data Extraction | Web Scraper | Automation Tools
"Fast, responsive, professional. Really appreciated the thorough documentation too."
Tomer S.
5.00December 12, 2024
Create Web scraper for Facebook
"Van exceeded all expectations with exceptional professionalism and expertise. They delivered high-quality work ahead of schedule, communicated effectively throughout the project, and made the collaboration seamless and enjoyable. I highly recommend Van to anyone looking for a skilled and reliable freelancer."
Preska T.
5.00October 21, 2024
You will get Data Scraping | Data Extraction | Web Scraper | Automation Tools
"I recently had the pleasure of working with Tran, and I can't express enough how impressed I am with his work. From the very beginning, he demonstrated a deep understanding of our project requirements and brought a level of expertise that made a significant difference in the outcome. What truly sets Tran apart is his commitment to excellence."
Alice W.
5.00June 28, 2024
Data Pipeline
Verified rating captured from the shared Upwork review screenshots.
Alice W.
5.00May 26, 2024
Admin Panel for Data Management
"AMAZING. We are lucky that we found Van. He helped us with our database structure. He is very knowledgeable and very cooperative. We are still continuing to work with him further. I can only highly recommend."
Nic S.
5.00May 15, 2024
Web scraping - Project review and proposal
"Excellent work. I'd be very happy to work with Tran in the future."
Paris K.
5.00March 22, 2024
Seeking developers experienced with LAMP (Python) and REST APIs for UX Research Study / gstd-2024-1
"Tran did a great job on a LAMP REST API deployment to Microsoft Azure. We'd be happy to work with this freelancer again."
Yalcin K.
5.00March 18, 2024
Python Developer to Build a Shopify Integration
"Van is a great data engineer, and I highly recommend it. He joined our project and helped build a custom data pipeline within weeks."
Omer D.
4.80March 5, 2024
Attach Stripe webhook to Flask server
Verified rating captured from the shared Upwork review screenshots.
Chod S.
5.00February 25, 2026
Data Extraction & Automation Engineer for Large Document Repository
Verified rating captured from the shared Upwork review screenshots.
Gilad B.
5.00December 18, 2025
Phase 0: Design a granular data schema and structure, and full tool flow
"Very knowledgeable and professional. Good communication"
Ari B.
5.00November 25, 2025
30 minute consultation
Verified rating captured from the shared Upwork review screenshots.
Julio D.
5.00July 16, 2025
Web scraper in R
"Tran was great, very knowledgeable and quick responses"
Adam P.
5.00May 26, 2025
scrape data for research project
Verified rating captured from the shared Upwork review screenshots.
Bernard V.
5.00May 12, 2025
30 minute consultation
Verified rating captured from the shared Upwork review screenshots.
Madison M.
5.00March 31, 2025
Review Git Pull Requests
"Very responsive and quick to get started! Produced excellent results. I will definitely reach out again in the future."
Alex J.
5.00February 18, 2025
You will get Data Scraping | Data Extraction | Web Scraper | Automation Tools
"Fast, responsive, professional. Really appreciated the thorough documentation too."
Preska T.
5.00October 21, 2024
You will get Data Scraping | Data Extraction | Web Scraper | Automation Tools
"I recently had the pleasure of working with Tran, and I can't express enough how impressed I am with his work. From the very beginning, he demonstrated a deep understanding of our project requirements and brought a level of expertise that made a significant difference in the outcome. What truly sets Tran apart is his commitment to excellence."
Alice W.
5.00May 26, 2024
Admin Panel for Data Management
"AMAZING. We are lucky that we found Van. He helped us with our database structure. He is very knowledgeable and very cooperative. We are still continuing to work with him further. I can only highly recommend."
Paris K.
5.00March 22, 2024
Seeking developers experienced with LAMP (Python) and REST APIs for UX Research Study / gstd-2024-1
"Tran did a great job on a LAMP REST API deployment to Microsoft Azure. We'd be happy to work with this freelancer again."
Omer D.
4.80March 5, 2024
Attach Stripe webhook to Flask server
Verified rating captured from the shared Upwork review screenshots.
Chris K.
5.00December 30, 2025
FT Platform Phase #2
"Great backend developer, highly recommend!"
Chris K.
5.00December 5, 2025
BQ Pipeline Automation + Lightweight API
Verified rating captured from the shared Upwork review screenshots.
Tomer S.
5.00September 9, 2025
Data handling
Verified rating captured from the shared Upwork review screenshots.
Jason Y.
5.00June 13, 2025
Flowise N8N AI Agent Builder
Verified rating captured from the shared Upwork review screenshots.
Dillon M.
5.00May 16, 2025
30 minute consultation
Verified rating captured from the shared Upwork review screenshots.
Preska T.
5.00April 10, 2025
LLM
Verified rating captured from the shared Upwork review screenshots.
David C.
5.00March 29, 2025
You will get AWS, GCP and Azure Data pipeline
"Great platform to interface with developer."
Tomer S.
5.00December 12, 2024
Create Web scraper for Facebook
"Van exceeded all expectations with exceptional professionalism and expertise. They delivered high-quality work ahead of schedule, communicated effectively throughout the project, and made the collaboration seamless and enjoyable. I highly recommend Van to anyone looking for a skilled and reliable freelancer."
Alice W.
5.00June 28, 2024
Data Pipeline
Verified rating captured from the shared Upwork review screenshots.
Nic S.
5.00May 15, 2024
Web scraping - Project review and proposal
"Excellent work. I'd be very happy to work with Tran in the future."
Yalcin K.
5.00March 18, 2024
Python Developer to Build a Shopify Integration
"Van is a great data engineer, and I highly recommend it. He joined our project and helped build a custom data pipeline within weeks."
Chod S.
5.00February 25, 2026
Data Extraction & Automation Engineer for Large Document Repository
Verified rating captured from the shared Upwork review screenshots.
Chris K.
5.00December 5, 2025
BQ Pipeline Automation + Lightweight API
Verified rating captured from the shared Upwork review screenshots.
Julio D.
5.00July 16, 2025
Web scraper in R
"Tran was great, very knowledgeable and quick responses"
Dillon M.
5.00May 16, 2025
30 minute consultation
Verified rating captured from the shared Upwork review screenshots.
Madison M.
5.00March 31, 2025
Review Git Pull Requests
"Very responsive and quick to get started! Produced excellent results. I will definitely reach out again in the future."
Tomer S.
5.00December 12, 2024
Create Web scraper for Facebook
"Van exceeded all expectations with exceptional professionalism and expertise. They delivered high-quality work ahead of schedule, communicated effectively throughout the project, and made the collaboration seamless and enjoyable. I highly recommend Van to anyone looking for a skilled and reliable freelancer."
Alice W.
5.00May 26, 2024
Admin Panel for Data Management
"AMAZING. We are lucky that we found Van. He helped us with our database structure. He is very knowledgeable and very cooperative. We are still continuing to work with him further. I can only highly recommend."
Yalcin K.
5.00March 18, 2024
Python Developer to Build a Shopify Integration
"Van is a great data engineer, and I highly recommend it. He joined our project and helped build a custom data pipeline within weeks."
Chris K.
5.00December 30, 2025
FT Platform Phase #2
"Great backend developer, highly recommend!"
Ari B.
5.00November 25, 2025
30 minute consultation
Verified rating captured from the shared Upwork review screenshots.
Jason Y.
5.00June 13, 2025
Flowise N8N AI Agent Builder
Verified rating captured from the shared Upwork review screenshots.
Bernard V.
5.00May 12, 2025
30 minute consultation
Verified rating captured from the shared Upwork review screenshots.
David C.
5.00March 29, 2025
You will get AWS, GCP and Azure Data pipeline
"Great platform to interface with developer."
Preska T.
5.00October 21, 2024
You will get Data Scraping | Data Extraction | Web Scraper | Automation Tools
"I recently had the pleasure of working with Tran, and I can't express enough how impressed I am with his work. From the very beginning, he demonstrated a deep understanding of our project requirements and brought a level of expertise that made a significant difference in the outcome. What truly sets Tran apart is his commitment to excellence."
Nic S.
5.00May 15, 2024
Web scraping - Project review and proposal
"Excellent work. I'd be very happy to work with Tran in the future."
Omer D.
4.80March 5, 2024
Attach Stripe webhook to Flask server
Verified rating captured from the shared Upwork review screenshots.
Gilad B.
5.00December 18, 2025
Phase 0: Design a granular data schema and structure, and full tool flow
"Very knowledgeable and professional. Good communication"
Tomer S.
5.00September 9, 2025
Data handling
Verified rating captured from the shared Upwork review screenshots.
Adam P.
5.00May 26, 2025
scrape data for research project
Verified rating captured from the shared Upwork review screenshots.
Preska T.
5.00April 10, 2025
LLM
Verified rating captured from the shared Upwork review screenshots.
Alex J.
5.00February 18, 2025
You will get Data Scraping | Data Extraction | Web Scraper | Automation Tools
"Fast, responsive, professional. Really appreciated the thorough documentation too."
Alice W.
5.00June 28, 2024
Data Pipeline
Verified rating captured from the shared Upwork review screenshots.
Paris K.
5.00March 22, 2024
Seeking developers experienced with LAMP (Python) and REST APIs for UX Research Study / gstd-2024-1
"Tran did a great job on a LAMP REST API deployment to Microsoft Azure. We'd be happy to work with this freelancer again."
A 4 to 6 agent build for a mid market team typically costs $25K to $80K with Van Data Team, or $150K to $400K with a US enterprise consultancy. Ongoing LLM, cloud, and maintenance run $2K to $8K per month. The largest cost lever is scope: one warehouse and one delivery surface lands at the low end; multi warehouse with HIPAA or SOC2 lands at the high end.
8 to 14 weeks from discovery to production for a 4 to 6 agent system, plus a 4 to 6 week stabilization period. Fast PoCs are realistic in three weeks. A CFO grade production cutover is not.
Yes. Our agentic BI Reporting services sit next to your existing BI tools, not on top of them. We wire the agent into Slack, a web chat, or your product UI and use the existing semantic layer as the metric source of truth. We recommend wrapping Tableau before replacing it.
Three architectural controls work together: a governed semantic layer so the agent selects metrics, a dedicated validation agent that runs schema checks and EXPLAIN based join cardinality estimation before SQL executes, and human in the loop interrupts for regulated metrics.
Snowflake Cortex Analyst is a managed text to SQL service that lives inside Snowflake and works well when your data is fully in Snowflake, the logic is straightforward, and users live in Snowsight. A custom LangGraph BI agent spans multiple warehouses, integrates a custom semantic layer, supports any LLM, and gives full control over validators, audit trails, and UX.
Yes, when the engagement is structured properly. The controls that matter are least privilege access, OAuth and warehouse RLS, no PII leaving your cloud, full audit logs of every tool call, and appropriate DPAs or BAAs. HIPAA covered PHI may require a US based co vendor for BAA chain reasons.
Plan for $2K to $6K per month on a Van Data Team retainer, or $8K to $25K per month with a US agency. The work covers eval suite expansion, prompt tuning, semantic layer additions, observability upkeep, and incident response.
Yes. dbt metrics or MetricFlow become the agent's semantic layer directly. Airflow continues to own ingestion. Fivetran continues to own source loading. Our work adds an MCP server, the LangGraph runtime, and the eval suite.
A freelancer can ship a PoC in two weeks. A specialized agentic BI Reporting services firm ships a system that survives the audit: a governed semantic layer, validation agent, eval suite, observability, a retainer for drift, and a partner reachable the moment the answer is wrong before a board meeting.
Most agentic BI pilots stall at 60% accuracy and never reach production. Van Data Team ships governed multi agent systems with eval suites and validation gates in 8 to 14 weeks, led by one founder from workflow audit to stable production.
Production LangGraph, CrewAI, OpenAI Assistants, and Claude tool-use workflows.
Playwright-first scraping runtimes, proxy strategy, validators, and warehouse delivery.
Airflow, Kafka, dbt, BigQuery, and freshness SLAs for the data behind automation.