From one workflow to a working AI agent
A clear, low-risk process: we prove value on one workflow first, then grow from there.
Five steps, with you involved at each one
Discover
We map one workflow with your team: what comes in, who decides what, which systems are touched and where time is lost.
Free consultationDesign
We define the agent's job, the tools and data it can use, when it must ask a person, and how we will measure success.
Written scope and planBuild and integrate
We build the agent, connect it to your systems, and test it against real past cases before anyone relies on it.
Working pilotLaunch
The agent goes live alongside your staff, starting with review on its outputs and widening as results prove out.
Training and handoverOperate and improve
We monitor quality, cost and usage, and keep tuning the agent as your products, prices and policies change.
Managed serviceChoose the engagement that fits
Every engagement starts with a free consultation. We quote a fixed scope after we understand the workflow.
Pilot
Prove one agent on one workflow with real data before you commit further.
- Discovery workshop
- Working agent on one workflow
- Results review and next-step plan
Build and integrate
Take a proven agent into production, connected to your systems and channels.
- Production build and integrations
- Security review and approvals setup
- Staff training and documentation
Managed agents
We host, monitor and improve your agents so your team can focus on the business.
- Hosting and monitoring
- Quality, usage and cost reports
- Ongoing improvements and support
Timelines are typical ranges and depend on the systems involved. Model usage costs are estimated up front and reported monthly.
Let's find the first job for your AI agent
Tell us where your team loses the most time. We'll come back with a practical agent idea, what it would connect to, and what a pilot would take.