AI Strategy & Discovery

What we offer

Clarity before you
commit anything

Tell us what you're trying to solve. We map where AI genuinely creates leverage, prove the risky parts early, and hand you an honest, costed picture of what's worth doing — before you spend big.

Why discovery first

AI projects rarely fail in the build. They fail in the guessing beforehand.

2–3

weeks to replace the guesswork with a costed plan.

5

questions we answer before you commit to a full build.

1

roadmap you own outright — whether or not you build it with us.

Discovery is the cheapest thing you'll do. Skipping it is the most expensive.

Core Services

Everything a discovery answers

Five pieces of work, run in order. Each one closes a question — until there's nothing left to guess.

Where does AI actually help?

AI Opportunity Mapping

We map your product and workflows to where AI genuinely creates leverage — and, just as honestly, where it won't.

DiscoveryWorkflow audit

One sprint. One document. Zero guessing.

Tech We Use

Proven tools, chosen for the job

We stay model- and vendor-neutral - the recommendation is always what fits your problem, never what we happen to prefer.

Python logoPython OpenAI logoOpenAI Anthropic Claude logoAnthropic Claude Google Gemini logoGoogle Gemini Hugging Face logoHugging Face Jupyter logoJupyter Miro logoMiro Notion logoNotion Figma logoFigma Google Sheets logoGoogle Sheets
Case Studies

Where the plan became real

Real work, not a pitch. This is where an unsure “maybe AI” became a costed plan that actually shipped.

6 wks

Nythic — from discovery to its first shipped AI feature.

~50%

Nythic — daily operational load time cut by prioritising the right automation.

3 wks

from first call to a costed plan each team could build from.

Representative outcomes from recent engagements.

Real client, real impact

Don't just take our
word for it

We came in unsure whether AI was even worth it. Externo gave us honest answers and a costed plan we could actually build. No hype, no guesswork — just a clear path, and a first feature that shipped on time.

Aarav Menon

Founder, Nythic AI

AI Strategy FAQ

Good Questions, Clear Answers.

We look at where your team loses the most time or money, then score each idea on value, effort, and data readiness, so the first project is the one most likely to pay off.

We will say so. Sometimes a simple rule, a better form, or a workflow automation fix solves the problem faster and cheaper, and we would rather tell you that early.

We check what you have, how clean it is, and where it lives, and if there are gaps, our data & dashboards team can help get it into shape first.

It depends on how core the problem is. We compare building, buying, and combining both on cost and control, and recommend the option that fits your team and budget.

You get a clear map of use cases, a recommended first project, a rough cost and timeline, and the risks to watch, so you can decide with your eyes open.

Most take a few focused weeks with a fixed scope, so you get a plan you can act on quickly rather than an open ended study.

The usual ones are unclear goals, weak data, and cost creep, and we plan for each up front, so the project stays useful and affordable.

You own the plan and can run it with any team. If you want, we can build the first project through AI agents & assistants or workflow automation. Book a discovery call to start.

Let’s find where AI pays off for you

Tell us the problem you’re solving. We’ll map the smartest way in, and if AI is not the answer, we’ll say so.

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