Awais Amir

Open to conversations about AI adoption

Making AI workwhere the workhappens.

I help teams adopt AI safely and turn it into measurable results, drawing on seven years in operations, sales and payments. I've led more than 100 people, and I build the tools myself.

100+people led at an Amazon fulfilment centre
17monthsfrom telesales rep to manager
8web apps built with AI, four of them live
2.5MTikTok views in the past year

AI only pays off when people use it well.

I work between the operation and the technology: choosing the right tools, setting simple rules, training the people who use them and measuring what changes.

Adoption

Helping teams start using AI with confidence, with clear rules, the right tools and training that fits each role.

  • Safe-use policies and approved tools
  • Role-based training and AI champions
  • Bringing hidden AI use into the open

Implementation

Turning a business problem into a working tool or workflow, then checking that it delivers.

  • Scoping AI against simpler automation
  • Pilots, success metrics and guardrails
  • Integrations, payments and scheduled jobs

Commercial leadership

Years of running teams against hard targets, so change lands with the people who do the work.

  • Sales and customer operations
  • Coaching cadences and KPIs
  • Process redesign at scale

Things I've built to solve real problems.

Built with AI alongside a full-time job. Each one started with a problem I could see from the inside.

Deal Pricer and CRM

A private CRM and live deal pricer I use every day in my sales role.

Problem
Pricing deals live on calls, then tracking every deal from signing to live.
Build
Live pricing, deal milestones, template follow-ups, duplicate-safe saves, backups and a full audit log.
Detail
Anonymised records with no customer contact details. Pricing is calculated in code, not by AI, so every figure is traceable.
TypeScript, React, SQL, Cloudflare
Illustrative activity, sample data

CardsMachines

A merchant education and enquiry platform for UK small businesses.

Problem
Card fees are confusing, and small businesses struggle to compare options fairly.
Build
A 60-page site with sector guides, a cost calculator, a five-step quote journey and card statement analysis. 58 versions, 42 automated tests.
Result
5,156 Google search impressions in its first seven weeks, with niche guides ranking on page one.
TypeScript, Cloudflare Workers, SQL, GA4, Clarity
Visit cardsmachines.co.uk
Daily Google search impressions, 2026

Payment Sales

A careers platform for people moving into payments sales.

Problem
My videos kept bringing questions from people trying to break into payments sales.
Build
Guides, Stripe payments, Cal.com bookings, automated email and a weekly refresh of UK payments jobs.
Result
One recruitment video drew 30+ enquiries. I screened the candidates and referred 30.
Stripe, Cal.com, Resend, webhooks, scheduled jobs
Visit paymentsales.co.uk
How a payment is recorded exactly once

Goals Stats

A stats app for a weekly seven-a-side football group.

Problem
The group wanted proper records of results, scorers, votes and form.
Build
PIN sign-in, an organiser workflow, Player of the Match voting with tie-break rules, and player cards that update themselves.
Result
Used weekly by 20 players within its first three weeks.
TypeScript, React, SQL, photo storage
Seven-a-side, every week

Automation layer

Scheduled AI tasks that handle my daily briefing, job research and reporting.

Scale
25 scheduled automations, 10 currently live.
Includes
A daily intelligence briefing, a weekly UK jobs refresh and a reporting sync.
Rules
One owner per task, human approval before anything is sent, and every fact labelled reported or verified.
Why
The same guardrails I'd set up for a team adopting AI agents.
Scheduled AI tasks and agents
25 automations, 10 live, nothing sent without approval

Seven years in places where every result is measured.

I've run teams in an Amazon fulfilment centre, a foreign-exchange cash centre and a telesales operation, and I now sell payment services to UK small businesses. In each one, every process shows up in the numbers by the end of the day.

That's why I care about AI that actually gets used. I know how operations run, why people resist change and what makes a new tool stick. I build the tools myself, so I know what AI can and can't do.

Portrait of Awais Amir
2025 to now

Payment Consultant

Global Payments (takepayments)

  • Field sales across the South region, then remote telesales, for UK small businesses.
  • Diagnosing each merchant's needs, then recommending, quoting and onboarding card terminal, online and payment link solutions against Square, SumUp and the banks.
2023 to 2025

Telesales Rep to Telesales Manager

Connect Fibre

  • Top salesperson every month as a rep, then Team Leader at 14 months and acting Telesales Manager at 17.
  • Led five sales and three retention staff, and built the retention department from scratch.
  • Doubled team sales at peak, lifted overall sales volume by more than 20% and raised installation utilisation from 60% to 95%.
  • Automated the sales process with HubSpot sequences and workflows, and built a coaching cadence with L&D.
  • Received the company's first-ever Outstanding Connector award, presented by the CEO.
2022

Section Manager

G4S

  • Ran a foreign-exchange department processing millions across all currencies for major banks and currency providers.
  • Managed two senior cashiers and a team of 20.
2019 to 2022

Graduate Area Manager

Amazon, LTN1 fulfilment centre

  • Led 100+ associates through three team leaders across outbound ship and pack, and stood in as operations manager for the whole outbound department.
  • Achieved the site's highest safety score. My practices were shared as a benchmark across UK operations.
  • Led the COVID social-distancing redesign of outbound processes with the safety team.
  • Improved productivity by more than 10% while meeting quality and safety targets, and developed four associates into team leaders.
2017

BSc Biochemistry, 2:1

Royal Holloway, University of London

How I bring AI into a business.

Adoption is a people problem.

Fear, trust and habit decide whether AI gets used. Many people worry it could replace them, so I start there, with honesty and quick wins they can feel.

Safe before fast.

Approved tools, simple data rules and human approval for anything consequential. When people hide their AI use, company data ends up in tools nobody has checked.

Measure outcomes, not activity.

Time saved only counts when the work itself changes. I define the outcome first, then track whether it moves.

Build it to understand it.

I build working tools, so my advice comes from knowing what AI does well, where it fails and what it costs.

Explaining AI, payments and careers in plain English.

2.5M views, 68.8K likes and 36.4K shares on TikTok in the past year.

Short videos on how AI and payments work, what's changing, and how to get into payments sales.

Let's talk about making AI work in your team.

Open to conversations about AI adoption, implementation and collaboration. Based in London.

awaisamir@hotmail.co.uk Message me on LinkedIn