DATA · Illustrative scenario
Data Platform
Query warehouses and lakes with governed, typed access.
Agents speak SQL to Snowflake, BigQuery, and Databricks through a typed semantic layer — no raw table access, no hallucinated joins, every query attributed and rate-limited.
01 · Baseline
The coordination tax, measured.
Pre-agent metrics captured across data platform workflows during the Phase 01 read-only observation window.
Time to answer
0.0 days
Business question → analyst delivery
Self-serve adoption
0%
Of business users active in BI
Governed query rate
Unknown
Shadow SQL outside catalog
02 · Architecture
How the agent core integrates.
Bounded actuation framework wraps every tool. No raw access — typed surfaces, scoped credentials, policy-bound writes.
- 01
Semantic layer first
Agent only queries through dbt Semantic Layer / Cube — metrics defined once, governed everywhere.
- 02
Row-level security
Caller identity propagated to warehouse; designed to apply RLS at query time, not in the prompt.
- 03
Query review agent
Pre-flight cost estimation, redundant query detection, materialization suggestions.
03 · Outcomes
Steady state, after rollout.
Illustrative scenario. Illustrative targets against a Phase 01 baseline — not published results.
Time to answer
0 min
For governed questions
Self-serve adoption
0%
Of business users
Governed query rate
0%
Queries designed to go through governed views
04 · Rollout
Three phases. Timing agreed per engagement.
Reversible at every step: Agents open draft pull requests. A person approves every merge.
Phase 01
Discovery
Read-only observation
Agent senses, plans, and shadows live traffic. Read-only access. Baseline metrics captured.
Phase 02
Pilot
Supervised execution
Every action drafted by the agent, 1-click human approval, and an audit trail in Git: Agents open draft pull requests. A person approves every merge.
Phase 03
Rollout
Bounded autonomy
Full Observe → Decide → Execute → Verify loop. HITL retained only on high-risk thresholds.
Governance
Controls shipped with this workflow.
Mapped to the OWASP Agentic Top 10 (2026): a control map, not an assessment. Mapped · not certified or audited.
- Row + column-level security
- PII tag enforcement
- Cost guardrails / query
- Catalog-bound execution
90-minute discovery workshop
Map this study to your DATA stack.
We baseline your workflows, walk through the phased rollout, and leave you with a deployment plan — not a pitch deck.