Put AI inside a workflow your team already runs.
We connect approved data and systems, keep people at the risky decision points, and make quality and exceptions visible.
Scope an AI workflow pilot- Best for
- Work that depends on finding, reading, drafting, routing, or answering by hand
- Starting point
- One workflow inside an existing system
- Typical pilot
- 2-4 weeks
- Decision at the end
- Keep, revise, expand, or stop after people use it
Approved sources feed the draft. A reviewer handles the risky decision. Only accepted work reaches the operating system.
AI drafts. A person decides. The system records what happened.
Trusted inputs
- Policies, knowledge bases, and approved references
- Customer and account context within existing permissions
- Messages and attachments relevant to the selected workflow
AI work
- Find the authorized evidence needed for this request
- Generate a grounded recommendation, response, or work product
- An accountable person reviews work where risk requires it
- Quality, usage, exceptions, and reviewer feedback inform the next decision
Controlled action
- Only approved work updates the system or reaches the customer
Permissions · Audit trail · Monitoring
This pilot needs
- An owner who can name the job and what better looks like
- Access to the approved systems and source material
- A clear point where a person reviews risky work
Not a fit: a generic chatbot with no job owner, approved source, or way to judge the result.
How the engagement runs
Three steps, then a decision.
Select
Define the owner, current method, approved sources, useful result, and review point.
Ship
Put the pilot inside the system where the work already happens, with review and logging in place.
Decide
Review quality, use, exceptions, and reviewer effort before keeping, changing, or stopping it.
Bring us the manual workflow taking the most time.
We will identify the smallest part worth testing and the person who should review it.