TechKnow

AI consulting & AI agents

AI consulting and AI agent development that reaches production

We help you find the AI use cases worth paying for, then build them: agents, document processing and LLM features wired into the systems you already run.

AI Consulting & AI Agent Development by TechKnow

Overview

AI is worth paying for when it removes real work from a real process. We find that process, prove the value on your data, then ship it.

What is AI consulting?

AI consulting is expert help deciding where artificial intelligence can save real time or money in your business, proving it on your own data, and building it into your systems safely. A good engagement ends in working software, not a slide deck.

Most AI projects stall between the demo and the production system. Our AI consulting services close that gap. We start with the business process, not the model. We find where AI saves real time or money, prove it on your own data, then build it into your software with the guardrails, logging and human review a real workflow needs.

For UK and European clients this is often called an AI consultancy engagement. The work is the same: a short strategy phase, a measured pilot and a production build, with data handled under GDPR-aligned terms.

What we have built

For a US membership lifestyle-medicine practice we built a multi-agent AI platform alongside its admin dashboard and member app. See the LX Medical case study. We use AI the same way in our own engineering and products, so our advice comes from shipping, not from slide decks.

Where AI agents usually pay off

  • Intake and triage. Read incoming emails, forms and documents, classify them, extract the fields and route them to the right queue.
  • Internal knowledge search. Answer staff questions from your policies, contracts and tickets, with sources cited.
  • Sales and operations support. Draft follow-ups, update the CRM, summarize calls and flag deals that need attention.
  • Scheduling and coordination. Agents that book, reschedule and confirm across calendars and systems, with a person approving exceptions.

Not every process needs an agent. Sometimes a well-designed form or a simple rule is cheaper and more reliable, and we will say so. Read where AI agents actually pay off for the longer version.

Capabilities

What AI Consulting & AI Agent Development includes

AI strategy and roadmap

A ranked list of use cases with expected value, data readiness, risk and cost. One to three weeks.

AI agent development

Tool-using agents that read, decide and act inside your systems, with approvals where they matter.

LLM integration

Claude, OpenAI and open models added to existing products: search, summaries, drafting and classification.

Document processing

Extract structured data from PDFs, forms and scans into your database, with confidence scores and review queues.

Evaluation and guardrails

Test sets, accuracy tracking, prompt-injection defences and audit logs, so you can trust what ships.

Data and privacy

Designs that keep sensitive data in your accounts, with redaction, retention rules and vendor agreements in place.

Process

How the engagement runs

1

Use-case workshop

We map candidate processes, size the value of each, and check whether the data exists to support it.

2

Pilot on real data

A 4–6 week pilot of the top use case, measured against an agreed baseline: time saved, accuracy, cost per task.

3

Production build

Integration with your systems, permissions, monitoring, cost controls and a human-in-the-loop where errors are costly.

4

Measure and expand

Monthly reviews of accuracy and cost, model updates as better options appear, and the next use case.

Technology

Tools we run in production

Chosen per project for your team, your hosting and your budget, not for the sake of novelty.

  • Anthropic Claude
  • OpenAI
  • Vertex AI
  • TypeScript
  • Python
  • PostgreSQL + pgvector
  • Supabase
  • Cloudflare Workers

Pricing

How pricing works

AI work has two kinds of cost: building it, and running it. We estimate both. Strategy workshops and pilots are fixed-price with a defined deliverable. Production builds are fixed-scope or time and materials. Every proposal includes an estimate of monthly model and hosting costs at your expected volume, so the business case holds up after launch.

Related work

Healthcare

Scheduling, billing, apps and AI agents for a membership medical practice

Custom softwareMobile appAI agents

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Your team

Who you will work with

  • Shakir Mattoo

    Founder and Software Engineer

    A founder who still reads the code.

  • Irtiza Batool

    Lead Software Engineer, Backend

    The parts you never see and always rely on.

  • Yasir Ahmad

    Lead Software Engineer, In-house Products

    The apps we run ourselves, shipped and kept running.

Meet the team

FAQ

AI Consulting & AI Agent Development: common questions

1

What does an AI consulting firm actually deliver?

A good one delivers working software, not just a strategy deck. With us you get a ranked use-case roadmap, a pilot measured on your own data, and then a production build integrated with your systems.

2

How much do AI consulting services cost?

Strategy and pilot phases are fixed-price, so you know the cost before you commit. Production builds depend on integrations and volume. We always estimate the ongoing model and hosting cost as well as the build.

3

Is our data safe if we use AI models?

We design so sensitive data stays in your cloud accounts and only the minimum needed is sent to a model. We use providers whose business terms exclude training on your data, and add redaction and logging where required.

4

Do you build AI agents for small businesses?

Yes. Small teams often see the biggest relative gain because one agent can absorb a whole manual task. We start with a single, narrow use case so the cost stays proportionate.

5

Do you offer AI consultancy for UK companies?

Yes. We work with UK and EU clients under GDPR-aligned terms, and our Srinagar team overlaps the UK working day. See our UK page.

6

Which AI models do you use?

Whatever fits the task, cost and data rules: Anthropic Claude, OpenAI, Google Vertex AI or open-weight models. We build so the model can be swapped without rewriting the application.

Send a message

Tell us about your project.

A short brief is enough. Someone who can answer technical questions replies within one business day. Prefer to talk? Call us.

We call only if you'd like us to.

What it should do, who uses it, any systems it must connect to, and a budget range if you have one.

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