Pick the workflow that pays. Then ship it.
We find the two or three processes where an agent earns its keep, and take the first one to production while the plan is still fresh.
One call with a senior engineer. A straight answer on what it would take.
Where you are. Where you’ll be.
You need this if
- You have more AI pilots than AI in production
- The board wants an AI plan with a payback date on it
- Teams are buying AI tools on their own and none of them connect
What changes for your business
- One agent in production, not a roadmap waiting for budget
- A ranked backlog of the next workflows, each with an expected payback
- Leadership gets a number to track, agreed before a line of code
What we hand over
- Use-case scorecard ranked by payback, risk and data readiness
- Production agent for the top-ranked workflow
- Baseline and success metric signed off before the build
- Rollout plan for the next two workflows
What it is
An agentic AI strategy decides which business processes an AI agent should run end to end, in what order, and how success is measured. A good one is short: a ranked handful of workflows with owners and a payback date, not a long list of use cases. It only counts once the first agent is live.
Most AI roadmaps are a list of forty use cases and no owner. We work the other way round. We map where your people lose hours to multi-step, rules-plus-judgment work, score every candidate on volume, risk and data access, then build the winner on your real systems. Strategy and deployment are one engagement, so the plan gets tested by working code in weeks instead of defended in meetings for months.
- Why now
- 95% of generative AI pilots deliver no measurable P&L impact. MIT NANDA, The GenAI Divide, 2025 (opens in a new tab)
- Last reviewed
How it runs
- 01
Diagnose
Typically 2–4 weeksWe map the problem, your data and your systems, and agree the one number that defines success.
- 02
Prove
Typically 4–8 weeksA working pilot on your real data, measured against that number. Not a slide demo.
- 03
Ship
Scoped to the outcomeProduction build with security, monitoring, cost controls and documentation included, not upsold.
- 04
Run
Ongoing, optionalWe operate what we built against clear service levels, or train your team to. Your call. No lock-in.
Questions you’ll ask
- How do you decide which workflow gets an agent first?
- We score every candidate on three things: how often the work happens, what a wrong answer costs, and whether the agent can reach the data and systems it needs. The winner is usually high-volume, rules-plus-judgment work with a clear owner, not the most impressive demo.
- How long before an agent is in production?
- The diagnostic typically runs two to four weeks and the pilot four to eight, measured against the number agreed at the start. Production follows only if the pilot hits that number, so you never fund a build on hope.
- What if our data or systems aren't ready for an agent?
- Then the scorecard says so, and the first deliverable becomes the fix: an API into the system, a cleaned dataset or tighter permissions. We'd rather tell you that in week two than discover it in month six.
Sound familiar? Let’s fix it.
One call with a senior engineer. You’ll leave with a straight answer on what it would take.
Let's Build Together