Impressive demos rarely survive contact with operations.
Autonomous systems that plan and act across your operations, from task automation to multi-agent orchestration. Deployed with human-in-the-loop controls, governance and production monitoring.
Azure
Where this sits in the three stagesBuilt inside Stage 2, Build; scoped in Assess.
Agents that complete real multi-step tasks across your systems, measured against the work they replace.
Close, reconciliation, and AP and AR workflows with audit trails.
Agents that resolve tickets end to end, with handoff to humans.
Read, classify and act on contracts, claims and filings.
Monitor, decide and act on exceptions across the chain.
Writing a client proposal
Runs onReviewing a confidential information memorandum
Runs onOnboarding a new client
Runs onScreening inbound deals
Runs onWe build agents on the models and lakehouse your security team already approves, with the controls to run them safely.
DatabricksAgentic AI is easy to prototype and hard to operate. The gap between a demo and a system you can run in production is governance, reliability and the discipline to keep a human in the loop where it matters.
Approval gates, guardrails and escalation paths, so people stay in command of consequential decisions.
Evaluation suites, tracing and monitoring that prove an agent works, and keep proving it after launch.
Continuous checks with reviewable, defensible decision records.
We meet you at the right level of autonomy and progress deliberately, never shipping autonomy before the controls are ready.
Autonomous systems that plan and act across your operations, from task automation to multi-agent orchestration, deployed with human-in-the-loop controls, governance and production monitoring. The aim is agents that reach production, not demos: agents that complete real multi-step tasks across your systems, measured against the work they replace.
Four kinds. Finance and back-office automation: close, reconciliation, and AP and AR workflows with audit trails. Customer service agents that resolve tickets end to end, with handoff to humans. Document processing and extraction that reads, classifies and acts on contracts, claims and filings. Operations and supply chain agents that monitor, decide and act on exceptions across the chain.
With approval gates, guardrails and escalation paths, so people stay in command of consequential decisions. Evaluation suites, tracing and monitoring prove an agent works and keep proving it after launch, and continuous checks leave reviewable, defensible decision records. We never ship autonomy before the controls are ready.
Agentic AI is easy to prototype and hard to operate. The gap between a demo and a system you can run in production is governance, reliability and the discipline to keep a human in the loop where it matters. We meet you at the right level of autonomy and progress deliberately.
Agentic automation is built in Stage 2, Build, and scoped in Stage 1, Assess. We build on Claude and Databricks: agents run on the models and lakehouse your security team already approves, with the controls to run them safely.
Yes. For a private equity deal team we built CIM review on Claude on Databricks, a Level 3 (L3) system: 4x faster CIM review, manual processing down 75%, and the analyst queue cut from 70 to 10.