AI systems, built and handed over in a week

Agents, workflow automation and custom software for businesses and for agencies who need delivery without hiring in house. You own everything at the end.

Nine years building systems at
Accenture HCLTech Capgemini IBM TCS
Why Reelift

Most businesses bought the AI tools and changed nothing. The tools were never the problem.

Handing a team an AI subscription without rebuilding the workflow around it is like giving someone a faster car and leaving them in the same traffic. The work has to be redesigned first. That is the part I do.

What I build

Systems wired into the tools you already run

Not no code templates that break the first time your process changes.

01

Voice agents

Inbound and outbound calls handled end to end. Books appointments, confirms details, escalates to a person when it should.

02

WhatsApp and chat agents

Answers enquiries the moment they arrive at any hour, qualifies on intent, timeline and budget, then books the meeting.

03

Hiring and screening

Reads the resume, runs the first conversation, scores against the role, and ranks candidates so recruiters only call the strong ones.

04

Workflow and back office

Onboarding, documents, invoicing, internal handoffs. The repetitive work that quietly eats whole days every week.

05

Content systems

One prompt in, full output for every platform. Scripts, captions and carousels, trained on your domain and your tone.

06

LLM integration and custom software

Bringing AI into a product or CRM you already run, or building the thing outright when nothing off the shelf fits.

Proof

Five working systems you can open right now

Not screenshots and not a case study PDF. These are live. Click any of them and use it yourself. They run on sample data and connect to real accounts in production.

How it runs

A week, start to handover

The speed is not from cutting corners. It is from cutting everything that does not matter and shipping the part that does.

Day 1 to 2

Map it

What is eating the time, who does it now, and what finished actually looks like. Agreed in writing before anything gets built.

Day 3 to 5

Build it

The agent, the logic, the interface, the integration into your systems. Kept simple so it survives real use.

Day 6

Break it

Tested against the messy cases before you see it, not the happy path that always works in a demo.

Day 7

Hand it over

Deployed, documented, with a walkthrough for whoever runs it day to day.

Working together

Two ways this usually goes

Agencies and consultants

White label delivery

You sell it and stay the face of the relationship. I build in the background and deliver under your brand.

Useful when a client wants something your team cannot build yet, or when hiring for one project makes no sense.

Your client never needs to know I exist.

Businesses

Direct build

We scope the problem together, agree what success looks like in numbers, then I build it and hand it over.

Project based and phased for anything larger. No retainer, no minimum commitment.

You own everything at the end.

Either way I lead delivery myself and bring in trusted engineers when a project needs more hands.

Ownership

No hostage code, no licence, no dependency on me

Every line of code, prompt, model config and dataset transfers to you
Full repository handover with a deployment runbook
Architecture documentation your own engineers can pick up
Deployed on your own cloud and API accounts where you prefer
AI and infrastructure costs billed at actuals, never marked up
Training for whoever runs it, plus a warranty period after launch
Where the habits come from
9
Years as a data and software engineer
5
Enterprise technology firms
5
Live systems you can try today

Bring the problem, not the solution

Thirty minutes. I want to understand the process costing you time before suggesting anything. If automation is the wrong answer, I will tell you that.