Service 03 / 07

AI implementation for small and mid-size businesses

AI where it saves your team real hours.

Most businesses don't need an AI strategy deck. They need one process that takes too long, made faster, without new risks. We find that process, build AI into the tools your team already uses, and check that it works before anyone relies on it.

Book a free call →See what you get ↓

Who it’s for

Is this you?

  • Small and mid-size businesses whose team spends hours on documents, email, data entry or reporting.
  • Owners who have tried ChatGPT informally and want something reliable, connected to their own data.
  • Teams with an existing product or internal tool that should gain AI features without a rewrite.

What you get

Here’s what’s included.

  1. 01Workflow audit

    We look at how the work is done today and list the tasks by time spent and by what a mistake costs.

  2. 02Use-case selection

    We pick the use case with clear value and manageable risk, and say no to the rest for now.

  3. 03Integration

    AI connected to your data and tools (CRM, documents, email, databases) through APIs, n8n or Make, or custom code.

  4. 04Evaluation

    The AI is tested on your real documents and cases before rollout, not on demos.

  5. 05Guardrails

    Structured outputs validated against Pydantic schemas, human review for low-confidence results, and limits on what the AI can see and do.

Where to start

Where AI usually pays off first.

  • 01Reading documents and emails and turning them into structured data your systems can use.
  • 02Drafting replies, summaries and reports for a person to review and send.
  • 03An internal assistant that answers from your own documents, with sources.
  • 04Generating PDF and Word documents from your data.

How it works

5 steps. No surprises.

One person covers product and AI end to end, so the same engineer who studies your workflow also builds and ships the integration.

  1. 1
    Discovery call

    Free, 30 minutes: the processes that hurt most and the tools involved.

  2. 2
    Proposal in 12 hours

    The audit and first use case, scoped with a fixed quote.

  3. 3
    Audit and pick

    We map the workflow and agree on the first use case together.

  4. 4
    Build and evaluate

    Integration on staging, tested against real cases, with a weekly check-in call.

  5. 5
    Roll out and support

    Launch with guardrails in place, 30 days of bug fixes, then an optional maintenance plan.

How every project runs →

AI we built into products

VEVVO→
VEVVOContractor operations platform
Echo AI→
Echo AIAI study companion
RAG Knowledge Assistant→
RAG Knowledge AssistantKnowledge assistant

Tools we use

  • OpenAI API
  • Claude API
  • Python
  • Pydantic
  • n8n
  • Make
  • Zapier
  • REST APIs

Questions

Questions? Straight answers.

Still unsure?

Ask me directly on a free 30-minute call.

Book a call →
Which AI model do you use?

OpenAI and Claude through their APIs, chosen per task on output quality, cost and where your data is allowed to go.

How do you make sure the output is right?

Outputs are returned as structured data and validated against Pydantic schemas, the system is tested on your real documents before launch, and results the model is not confident about go to a person for review.

Is our data used to train models?

We do not use your data to train machine learning models, and client material is only used to deliver your project.

Do we need to hire an AI team?

No. We build and maintain the integration. Your team needs to know how to use it and when to review its output, and we cover that at handover.

Can you add AI to a product we already have?

Yes. AI features can be added to an existing codebase without rewriting it.

Keep exploring

Other services

Free 30-minute call. You get a scope, a timeline and a fixed quote within 12 hours.TALK IT THROUGH WITH AYOUB

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