Your AI Automation Consultant
Straight answers on where AI fits your business, with a roadmap you can execute.
Who this is for
If any of this sounds like you, we should talk.
You know AI matters, not where it fits
The pressure to adopt AI is real, the use cases are fuzzy. You want someone to look at your actual workflows and say where AI pays off and where it is hype.
Your team bought tools that nobody uses
Subscriptions were purchased, a workshop happened, and everyone went back to the old way. Adoption failed because the tools were not wired into real workflows.
You want a builder's opinion, not a deck
Strategy consultants hand you slides and leave. You want advice from people who will also build the thing, so the recommendations survive contact with reality.
Your company knowledge lives in heads
Every AI tool you try gives generic answers because it knows nothing about your business. Making your knowledge AI-readable has to come before the fancy use cases.
What changes for you
Outcomes you can point to, not features you can ignore.
- A ranked list of AI and automation opportunities scored by payoff and feasibility, specific to your workflows.
- Honest kill decisions: the use cases where AI is not ready or not worth it, in writing.
- Your business knowledge structured so AI tools give answers grounded in your reality, not generic output.
- A roadmap with owners, sequence, and success measures your team can execute.
- The option to have the same studio build it, so strategy and implementation never lose each other.
What is included
Scope, organized by phase.
Assess (Phase 1 of 3)
Phase 1
Assess
What we lock down in this phase before moving on.
- Workflow and tooling audit across teams
- Data and knowledge readiness review
- Current AI usage and shadow-tool inventory
- Opportunity scoring: payoff versus feasibility
How an engagement works
From hello to handoff, step by step.
Discovery call
We hear how your business runs, where the manual pain is, and what you have already tried. No pitch, just questions.
Workflow and readiness audit
We map your workflows, tools, and data, and score AI opportunities by payoff and feasibility. The kill list matters as much as the shortlist.
Roadmap you can execute
A written, prioritized plan: what to automate, what to buy, what to build, what to skip, and in what order. Each item has an owner and a success measure.
Pilot the first use case
We build the highest-ranked item as a working pilot and measure it against the bar the roadmap set. Proof before rollout.
Scale what works
Winning pilots roll out with training and documentation. The roadmap updates as your team and the AI landscape move.
Case study
WitsCode (the OKF spec)
A published open spec with conformance tooling, running in production across our own projects. Clients get an adoption method we use ourselves: structure the knowledge first, and every AI tool that follows starts from the same source of truth.
Teams adopting AI hit the same wall we did: every tool and agent starts from zero, knowing nothing about the business. Knowledge scattered across wikis, code comments, and people's heads means AI output stays generic, and every session re-derives the same context.
We authored the Open Knowledge Format (OKF), an open spec for structuring company knowledge as cross-linked, agent-readable markdown with validation and graph tooling. We use it in our own repositories and bring it into consulting engagements to make client teams AI-ready before the flashier use cases.
Why us
What you get with WitsCode that you don't get elsewhere.
Consultants who build
The people advising you ship agents, automations, and AI products. Recommendations come with an implementation path because we are the ones who would walk it.
We tell you where AI loses
Some use cases are not ready, and some never will be worth it. The kill list is a deliverable. You pay for judgment, not enthusiasm.
Adoption over demos
Pilots are measured on real usage by your team, not on how the demo looked. If your people will not use it, it did not work, and the roadmap says so.
WitsCode rebuilt our Shopify store so it finally converts the traffic we were already getting. They understand speed and storytelling in equal measure, and the store has been a real growth lever since launch.
Frequently asked
Questions before you reach out.
An AI automation consultant audits how your business actually works, identifies where AI and automation produce a real return, and delivers a prioritized roadmap: what to automate, what tools to buy, what to build custom, and what to skip. Good consultants also flag where AI is the wrong answer, and stay accountable through a measured pilot.
Individual tools help individuals; consulting fixes the system. The gap between an employee using a chatbot and a business running on AI is workflow integration: connecting models to your data, your tools, and your processes with guardrails and measurement. Consulting maps where that integration pays off and sequences the work so adoption sticks.
AI adoption consulting focuses on making AI actually get used, not just purchased. That means readiness work (structuring your data and company knowledge so AI tools have real context), picking use cases your team will accept, wiring tools into daily workflows, training, and measuring usage honestly. Failed adoption usually traces to skipping the readiness step.
No. We have no reseller deals and no commissions, so build-versus-buy calls are made on fit. When a recommendation is to build, we can be the builder, and you are equally free to take the roadmap to your own team or another studio. The roadmap is yours either way.
The assess-and-roadmap phase typically runs 2 to 4 weeks depending on how many teams and workflows we cover. A first pilot usually adds 3 to 6 weeks. You get value at each gate: the audit stands alone, the roadmap stands alone, and the pilot proves the first investment before you scale anything.
If manual, repetitive work eats your week, you are the right size. Smaller businesses often see the fastest payoff because one automated workflow (lead follow-up, reporting, document handling) is a visible share of the total workload. The roadmap scales to the business: fewer use cases, faster proof, no enterprise theater.
Ready for a straight answer on AI?
Book a discovery call. You get an honest read on where AI pays off in your business, scoped within 48 hours.