01 / BUILD
Custom AI agents
Agents designed around your business rules, data, and decisions. From internal assistants to multi-step operational workflows.
Applied AI · Forward-deployed engineering
AI agents,
built into
your business.
We work alongside your team to turn complex workflows into custom AI agents. Connected to your systems. Built for real operations.
From the first workflow to production and beyond.
WORKFLOW / OPERATIONSDESIGNED FOR YOUR TEAM
01 / THE BUSINESS REQUEST
“Review this supplier invoice and prepare it for approval.”
✳
Your operations agent
Understand → retrieve → verify → act
Documents
Business rules
ERP / APIs
Approval-ready, with source evidence.
HUMAN REVIEWA focused engineering partner for teams that need AI to work inside the business—not just in a demo.
CUSTOM AGENTSSYSTEM INTEGRATIONPRODUCTION DELIVERY
What we build
Your workflows.
Our engineering.
Start with the work your team needs to get done. We build the agent, the integrations, and the controls around it.
02 / CONNECT
Connected business systems
Bring agents into the systems your team already uses. Connect documents, internal tools, and APIs without replacing your entire stack.
03 / OPERATE
Production engineering
Build for the conditions beyond the happy path. Define evaluations, approvals, monitoring, and recovery before the workflow goes live.
Where agents can help
Less repetitive work.
More room to decide.
Choose a workflow with a clear owner and a measurable outcome. These are examples of where we can start.
EXAMPLE / OPERATIONS
Turn incoming documents into review-ready work.
An agent reads the document, checks it against business rules, and prepares the next action in your existing system.
- 01Extract the information that matters.
- 02Verify it against records and business rules.
- 03Route exceptions to the right person.
- 04Prepare the approved action with an audit trail.
EXAMPLE SCOPE · NOT A CLIENT CASE STUDY
The forward-deployed approach
Close to your team.
Accountable to the work.
Forward-deployed engineering means working alongside the people who own the workflow. We map the real process, build in context, and stay close to delivery.
01DISCOVER
Find the right workflow.
Understand the users, systems, constraints, and exceptions. Agree on what success means.
OUTPUT / A scoped delivery plan
02PROVE
Test with real work.
Build a focused pilot. Evaluate it on representative tasks before expanding the scope.
OUTPUT / An evaluated pilot
03DEPLOY
Make it operational.
Integrate the workflow. Add access controls, human review, monitoring, and recovery paths.
OUTPUT / A production workflow
04IMPROVE
Learn from usage.
Review exceptions and user feedback. Improve what matters, then extend to the next workflow.
OUTPUT / A practical iteration plan
One workflow first. Clear acceptance criteria. A deliberate path to production.BUILD WITH YOUR TEAM ↗
Engineering with boundaries
Useful autonomy.
Intentional control.
An agent is only useful if your team can trust how it works. We design permissions, evidence, and human oversight into the workflow.
01
Access that matches the task.
Define which data and tools the agent can use. Keep permissions aligned with your existing access model.
02
People approve consequential actions.
Set explicit approval points for sensitive or irreversible steps. Give exceptions a clear owner.
03
Evidence before confidence.
Evaluate on representative tasks. Make source references, tool actions, and failures visible.
04
Built for your environment.
Choose deployment, model providers, and data handling based on your requirements and constraints.
Start with one workflow
What should your team
stop doing manually?
Tell us about the process, the systems involved, and where the work gets stuck. We’ll explore what an agent could take on.
Discuss your workflow ↗
A focused conversation. A practical next step.