Managed AI for real work
AI built for
your work.
Every industry has its own moving parts. We help connect the people, information, and systems behind them so good work can move forward.
Explore the approach ↓︎The ongoing partnership
What is
managed AI?
Managed AI is an ongoing service for designing, running, and improving AI-enabled workflows around the way your organization works.
Think of it as a practical partner for AI: we start by understanding a process, connect the tools and information it needs, build in human review, and support the workflow as requirements change. Depending on the project, a solution may run in your environment or in managed infrastructure.
Security, access, and applicable compliance requirements should be assessed for each use case. AI can assist with a decision, but your people remain responsible for approvals and outcomes.

Energy & petroleum
More clarity across operations.
Energy teams work across documents, contractors, equipment, and systems. Carefully scoped workflows can help organize information and make it easier for the right people to act.
Examples to explore
- Document intake: sort incoming vendor or equipment documents, extract key details, and route incomplete records for review.
- Maintenance coordination: summarize work requests and supporting records into a draft for a coordinator to check and prioritize.
- Reporting support: gather information from approved sources and prepare a draft report with links back to its inputs for human verification.
These are illustrative opportunities, not claims of deployments or guaranteed results. Safety-critical and regulatory decisions remain with qualified people.
Discuss an energy workflow ↗︎
Construction & field services
Less time chasing the details.
Project information arrives in emails, plans, notes, and forms. AI-assisted workflows can help bring those details together before your team makes the call.
Examples to explore
- Quote preparation: collect a request, identify missing specifications, assemble a draft scope and quote document, then route it to an estimator for pricing and approval.
- Project handoffs: summarize approved scope, deadlines, and open questions for the people taking work into the field.
- Field updates: turn submitted notes into a draft progress update and flag incomplete information for a project manager.
An illustrative quote workflow
- ReceiveA request and project details arrive.
- PrepareAI organizes specifications and flags missing information.
- ReviewAn estimator checks the scope, adds pricing, and approves the draft.
- ImproveThe team reviews exceptions and refines the workflow over time.
This is an illustrative example, not a live deployment or a promise of results. A qualified team member reviews scope, pricing, and project decisions before anything is sent.
Discuss a construction workflow ↗︎Beyond the examples
Built around your business.
If information moves between people and systems, there may be an opportunity to make that work easier.
From intake and document handling to internal knowledge and reporting, we start with the process—not a one-size-fits-all tool.
Start a conversation ↗︎