A 10-minute diagnostic across six dimensions — process, data, tools, decisions, team, and strategy. Walk away with a readiness score, a priority build sequence, and an honest view of what's in the way.
This shapes everything in the report. Take 60 seconds to be accurate.
AI agents can only run what humans have already figured out. Rate each statement honestly — No, Partially, or Yes.
Agents live inside your systems. Rate each statement — No, Partially, or Yes.
Agents make or assist decisions. And someone has to champion them internally. Rate each — No, Partially, or Yes.
The right agents depend on what you're trying to solve. Select all that apply.
Based on your assessment, here is where your business sits and what to build first.
Six dimensions determine whether agents can be deployed, where they'll have most impact, and what must be fixed first.
Process Maturity determines whether agents have consistent, documented workflows to run. An agent is only as reliable as the process it executes. If the process lives in someone's head, the agent will hallucinate or fail.
Data Readiness determines whether agents can access and trust the information they need to act. Most businesses have the data — it's just stuck in the wrong place, in the wrong format, or siloed between systems that don't talk to each other.
Tool Stack determines how connected your operating environment is. Agents need API access to do work. A business running on spreadsheets and email is not unagentifiable — but the infrastructure layer must be built before agents can run inside it.
Decision Architecture determines how many decisions in your business follow rules versus require genuine judgment. Rule-based decisions are agent candidates. Judgment decisions are human-in-the-loop candidates. Most businesses have far more rule-based decisions than they realise — they just haven't documented the rules.
Team Readiness determines whether the people inside the business will adopt, champion, and extend the agent capability — or quietly route around it. One internal champion changes everything. No champion and the deployment stalls after month two.
Strategic Clarity determines whether the business knows what it is trying to achieve with agents. Clarity here is the multiplier. Clear goal + ready infrastructure = fast ROI. Vague goal + ready infrastructure = lots of activity, no clear outcome.
Based on your readiness profile, here are the agents most likely to deliver value — and when to deploy them.
These agents are illustrative of what is deployable given your readiness signals. The actual agent team is designed with you in the pilot — OTOT maps your specific workflows before any build starts.
Deploy Now means the readiness conditions for this agent are already met. The infrastructure is there, the data is accessible, the process is documented. This agent can be live within weeks.
Deploy Soon means one or two conditions need to be addressed first — typically a process needs documenting or a system needs connecting. These agents are 4–8 weeks out once the condition is met.
Deploy Later means meaningful foundational work is required first. These are the right agents for this business — but the sequencing matters. Build the foundation, then deploy.
These are the specific conditions that will limit or block your agentic deployment if not addressed. Fix these first.
The most common reason agentic deployments fail is not a technology problem — it is a readiness problem that was not identified before the build started. A business deploys agents onto a foundation that cannot support them. The agents produce inconsistent results. The team loses confidence. The programme is quietly abandoned.
The fastest path to a working agent team is to clear the blockers first, then build. A business that spends four weeks documenting its three highest-volume processes before deploying agents will get a better outcome in month three than a business that deploys agents immediately onto undocumented workflows.
OTOT's engagement starts with a context sprint that identifies and clears these blockers in parallel with early agent deployment — so you are not waiting eight weeks before anything is live.
A phased build sequence based on your readiness score and primary goal.
Every agentic deployment has a correct order. The intelligence agent should be live before the execution agents — because the intelligence agent tells you where to point the execution agents. The internal agents (the ones that process your own data) should be live before the external agents (the ones that contact customers or partners) — because internal failures are recoverable, external failures are not.
A working agent team compounds. Each agent feeds the outputs of the others. The first 30 days build the foundation and get the pilot team into production. The next 60 days are about the champion model taking hold — the team learns to direct and extend agents themselves. By month four, the programme is self-sustaining.
OTOT is a consulting business. Ian Hammond and Neil, co-founders, act as a Fractional Head of AI for your business — scoped to what you actually need, priced accordingly.
Find out where AI creates the most value in your business.
Before building anything, we map where AI is relevant, what to build, and in what order. Most businesses that struggle with AI do so because they started in the wrong place. Discovery prevents that. You leave with a prioritised roadmap — not a generic one, a specific one for your workflows, your team, and your constraints.
We build the agents, the code, and the connections.
Agent design and deployment. Code. MCP connections to your existing tools and platforms. Advice on which AI products suit your stack. We do the technical work and teach your team as we go — so the capability stays inside the business when the engagement ends. Each project is scoped and costed before we start.
Stay engaged as your AI capability grows.
Some businesses want OTOT to remain involved as they scale — adding agents, connecting new tools, coaching the team, and ensuring the programme keeps compounding. This is available, but not assumed. We scope it when you need it. Month-to-month. No lock-in.
The tools are accessible. The documentation is online. There is nothing stopping your team from opening Claude or ChatGPT tomorrow and starting to build agents. Many do.
The gap is not access. It is pattern recognition. Which agents to build first, in what order, with what context layer underneath them — and which failure modes to avoid before they cost you time and trust inside the business. OTOT has made those mistakes across dozens of deployments. Your team has not made them yet.
The pilot is not a dependency — it is a shortcut. You get a working agent team and the knowledge to run it yourself. OTOT stays if you want us to. The capability stays regardless.
Your readiness results are with us. Someone from OTOT will be in touch shortly to walk through what we found and tell you exactly what we would build first for your business.
Can't wait? Reach us at ian@otot.io