Our Process
How We Ship an Agent
Most agent projects die between the prototype and the first real user. Ours end with something running in your infrastructure on your keys. Below is how we get there, in four phases, with what we deliver at the end of each one.
Who this is for
Operations and engineering leads at startups, agencies, and mid-market companies with a workflow that is manual, slow, or inconsistent, and usually a demo that already fell over on real inputs. Teams that would rather pay for production software than for hours of strategy.
If you already have an agent team with capacity, we are probably not the right fit. If you have the workflow, the systems, and no one to get an agent past the demo, this is built for you.
Map the workflow
Before anything else we need a clear picture of how the work moves today. Inputs, decisions, tools, handoffs, where people get stuck, where rework happens. This is plain workflow analysis, not a transformation framework.
- Walk through the workflow end to end. On the consultation call we talk through one or two real workflows you want to make faster. We focus on observable steps and decisions, not aspirations.
- Flag the bottlenecks honestly. Some bottlenecks are AI-shaped. Many are not. We separate the two before we talk about tools.
- Identify constraints up front. Data sensitivity, existing systems, team size, and budget all change what is realistic. We surface these now so nothing surprises us later.
What you get: A short written summary of the workflow, its true bottlenecks, and a recommendation on whether AI is the right lever at all.
Pick the right tier
Not every workflow has an agent shape, and the ones that do are not all the same size. We split work into three tiers so you know exactly what you are buying.
- Agent Pilot. One workflow, one agent, in production against real data. The smallest scope that settles whether the agent works before you commit a budget to it.
- Agent Deployment. A multi-step agent wired into the systems you already run, evaluated on held-out real cases, deployed to your infrastructure, and instrumented so drift is visible after handoff.
- Agent Fleet. Several agents plus the dispatch, run tracking, and verification that make a fleet operable by your team. This is the tier we build from running our own.
- No tier, when that is the right answer. If a single prompt solves it, or if an agent would add more failure modes than value, we will say so. You leave with a clearer picture, not an invoice.
What you get: A scoped proposal with the tier, the deliverables, the timeline, and a fixed price. No hourly retainers.
Build and validate
This is where most of the work happens. The deliverable is something your team can use, not a recommendation you have to re-procure. We work in short iterations and show progress against real data.
- Build against real inputs. We use sanitized examples from your actual workflow so the tool works on what you actually deal with, not on a demo dataset.
- Validate before rollout. Every implementation gets evaluated against a held-out set of real cases. We measure accuracy, latency, and cost, and we tell you what the failure modes are.
- Document what the tool does and does not do. You get a clear written description of the workflow, the boundaries, and the escalation paths for cases the tool should not handle.
What you get: A working tool deployed to your environment, evaluated against real cases, with documented limits and a runbook.
Hand off and measure
A tool nobody uses is the same as no tool. The final phase is training, instrumentation, and a measurement plan so the impact is visible after we are gone.
- Train the team that will use it. A short, recorded session with the people who will actually run the workflow. Real examples, real edge cases, no abstract overview.
- Instrument the workflow. We add lightweight tracking so you can see usage, throughput, and any drift in output quality. No analytics theater, just the numbers that matter for this workflow.
- Schedule a 30-day check-in. We come back after the tool has been in production for a month, review the metrics, and either close the engagement or scope the next iteration.
What you get: Your team owning the tool, with visibility into how it is performing and a clear decision point at 30 days.
What this process does not do
- Hidden scope creep. Tracks are scoped and priced up front. Anything outside the scope is a new conversation, not a quiet line item.
- AI for its own sake. If the bottleneck is a process problem, a hiring problem, or a data problem, we will say so before we sell you anything.
- Recommendations without implementation. Every engagement ends with a tool that works in production, not a deck of tools you should consider.
Common questions
How long does an engagement take end to end?
It starts with a free 30-minute scoping call. If a tier is a fit, scoping happens within a few days of the call. Agent Pilot engagements typically run 2 to 3 weeks and Agent Deployment engagements 4 to 8 weeks; Fleet work is scoped per client. A closing handoff phase includes instrumentation, documentation, and a scheduled 30-day check-in.
What happens on the free 30-minute call?
We walk through one or two real workflows, focusing on observable steps and decisions rather than aspirations. We flag which bottlenecks have an agent shape and which do not, surface constraints like data sensitivity and the systems the agent would have to touch, and leave you with a short written summary and an honest read on whether this is worth building at all.
What if an agent is not the right answer for my workflow?
If the workflow is already fine, if a single prompt covers it, or if an agent would add more failure modes than value, we will say so. You leave with a clearer picture and no invoice. The scoping call is designed to separate agent-shaped bottlenecks from process, hiring, and data problems before anything gets sold.
How do you scope and price the engagement?
After the scoping call we send a scoped proposal with the tier (Pilot, Deployment, or Fleet), the deliverables, the timeline, and a fixed price. There are no hourly retainers. Anything outside the scope is a new conversation with its own price, not a quiet line item added later.
What do you deliver at the end of an engagement?
An agent deployed to your environment on your keys, evaluated against a held-out set of real cases, with documented limits and a runbook. The final handoff phase adds usage and output-quality instrumentation and a scheduled 30-day check-in to review the real numbers.
Do you keep operating the agent after handoff?
No. Your team owns and runs the agent after handoff. We come back after 30 days in production to review the metrics and either close the engagement or scope an explicit next iteration. We do not sell open-ended retainers or indefinite operation.
Start with the call
It begins with a free 30-minute scoping call. No deck, no pitch. We walk through a workflow you want to make faster and you leave with an honest read on whether it has an agent shape worth paying for.