AI & AUTOMATION
One job, limited access, and a written test set.
We build narrowly scoped agents that can use selected tools, ask for review, and be checked against real examples from your team.
The problem
A chat demo is easy. The difficult part is giving a model the right data and tools, limiting what it can do, and knowing when its answer is wrong.
What we would build
We choose one workflow, connect the necessary systems, add permissions and review steps, and test the agent against a set of real examples before rollout.
What’s included.
- —One agent scoped to a named workflow
- —Connections to the tools and APIs used in that workflow
- —Permissions, review steps, and a route to a person
- —An evaluation set built from real examples
- —Usage monitoring and cost limits
Why we do it this way.
The acceptance criteria are written before implementation. Depending on the workflow, we measure accuracy, review rate, time saved, cost per task, and failure cases.
Starting at
$35k
Timeline
5–8 weeks
Questions
Which models do you use?
The choice depends on the task, privacy requirements, response time, and budget. We test likely options and keep the model behind an interface so it can be changed later.
Will it hallucinate?
Any model can produce a wrong answer. We limit the data and actions available to it, require human review where mistakes matter, and track known failure cases.
Do we own it?
Yes. The code, prompts, evaluation set, and infrastructure configuration are handed over to your team.
Talk through the scope
Bring the current workflow, constraints, and the result you need. We will tell you what we would include first.
Choose a time