Know what to automate before you build agentic AI
A structured assessment that scores your workflows, data, and controls — so you fund the agents that pay off and de-risk the ones that don't, instead of chasing demos.
- Workflow feasibility & ROI scoring
- Data, access & control gap review
- Risk register with mitigations
- A sequenced, fundable roadmap
Most agent projects fail before the first line of code
Not because the models are weak — because the wrong workflow was chosen.
The expensive failures we get called in to fix have a pattern. A team picks an impressive-looking use case, builds a prototype that demos well, then discovers the data was never accessible, the process had undocumented exceptions, or no one would trust an agent to take the action that mattered. Months and budget evaporate.
A readiness assessment front-loads those questions. We look at the unglamorous things that decide whether an agent survives contact with production: where the data actually lives, who is allowed to touch it, how messy the real process is versus the documented one, and what a wrong action would cost. Then we tell you, candidly, which workflows are ready, which need groundwork, and which you should leave alone.
Five dimensions of readiness
Every candidate workflow is scored against the factors that actually predict whether an agent ships and sticks.
Process fitness
How repeatable and rule-bound the workflow is, how many exceptions hide in it, and whether it's stable enough to automate without constant re-tuning.
Data & access
Where the data lives, how clean and current it is, and whether an agent can legitimately reach the systems it needs to read and write.
ROI & leverage
Volume, cycle time, error cost, and labor displaced — modeled into a defensible payback estimate, not a vibe.
Risk & blast radius
What a wrong action costs, what's reversible, and which steps demand a human approval gate before anything executes.
Control & compliance
Auditability, data residency, and the policy boundaries an agent must respect in your regulated environment.
Path to scale
Whether a first agent opens a credible path to a fleet, or is a dead-end one-off worth doing only on its own merits.
How a readiness sprint runs
Time-boxed, evidence-driven, and built to hand you a decision you can defend.
Map
We inventory candidate workflows and interview the people who actually run them — not just the org chart's version of the process.
Score
Each workflow is rated across the five readiness dimensions, with feasibility and ROI modeled side by side.
De-risk
We build a risk register: data gaps, access blockers, and failure modes, each paired with a concrete mitigation.
Sequence
You get a prioritized roadmap — what to build first, what to prepare, and what to skip — with a go / wait / don't recommendation per item.
Advice you can trust because we'll tell you not to build
A readiness assessment is only worth something if the assessor is willing to say no. We are. If a workflow is too volatile, the data isn't there, or the ROI doesn't clear the bar, that goes in the report — even when it shrinks the build we'd otherwise pitch.
Because we're not tied to a single model or platform, the roadmap recommends what fits the job: the right model, the right framework, and the right amount of autonomy for each step. You own the findings outright and can take them to any partner, or your own team.
- Honest go / wait / don't recommendations
- No model or framework lock-in
- Findings and roadmap are yours to keep
Jump straight to a build vs. assess first
What changes when readiness comes before code.
| Build-first | Readiness-first | |
|---|---|---|
| Workflow choice | Picked by whichever demo looked best | Scored against feasibility, ROI, and risk |
| Data surprises | Discovered mid-build, at full cost | Surfaced in week one as gaps to close |
| Risk handling | Bolted on after something breaks | Approval gates designed in from the start |
| Budget exposure | Committed before viability is known | Spent only on workflows that clear the bar |
| Roadmap | One use case, no path beyond it | Sequenced backlog from first agent to fleet |
Frequently asked questions
Is this just a sales call in disguise?
No. A readiness engagement is a paid, time-boxed piece of advisory work. You leave with a written assessment, a scored backlog, and a roadmap you own — whether you build with us, build in-house, or decide not to build at all.
How long does a readiness assessment take?
A focused sprint runs one to three weeks depending on how many workflows and systems are in scope. We map your processes, interview the people who run them, review data access and controls, and deliver findings you can act on immediately.
We don't have clean data or an AI team yet. Is it too early?
That's exactly what readiness work is for. We tell you which workflows are viable today, what data and access gaps to close first, and where a thin first agent earns trust before you invest in headcount or platform.
What do we actually walk away with?
A feasibility-and-ROI score per workflow, a risk register with mitigations, a target architecture sketch, a sequenced roadmap, and a clear go / wait / don't-build recommendation for each candidate.
Bring three workflows. Leave knowing which one to build.
A short, candid readiness sprint that scores your best agentic AI candidates and hands you a roadmap you can fund.