We build the automationthat runs your business.

PADARLabs is an AI-first engineering partner. We design, ship and operate intelligent systems — from LLM agents and workflow automation to secure cloud software — for teams in fintech, healthcare and commerce.

Trusted by teams atFlutterwavePaystackMonieSwitchLadda
What we do

One team for the whole stack — intelligence included.

We're an IT company built around AI. Every engagement combines classic software craft with automation and models, so you ship capability, not just code.

AI Agents & Copilots

Autonomous and human-in-the-loop agents that handle support, research, back-office ops and internal tooling — grounded in your data with guardrails and audit trails.

Applied Machine Learning

Forecasting, scoring, fraud detection, document extraction and recommendation systems — trained, evaluated and shipped to production.

Custom Software Engineering

Web platforms, APIs and internal systems built to last — with AI woven in where it earns its place, not bolted on.

Data Platforms & RAG

Pipelines, warehouses and retrieval layers that make your data usable by both people and models.

Cloud & DevOps

Scalable infrastructure, CI/CD and observability so what we build stays fast and reliable.

Security & Compliance

Threat modelling, secure SDLC and data-protection controls aligned to Nigeria’s NDPA and GDPR.

FinTech & Payments

Payment, remittance and reconciliation systems — the domain we’ve shipped in for years.

AI & Automation

Where AI-first actually means something

Four ways we put automation and models to work. Every one ships with evaluation, monitoring and a clear owner — not a demo.

Take the repetitive work off your team.

We map a process, then rebuild it as an automated workflow — triggered by events, documents or messages, with humans kept in the loop only where judgment matters.

  • Document intake, extraction & routing (KYC, invoices, claims)
  • Back-office reconciliation and reporting on a schedule
  • Cross-system sync between CRMs, ERPs, spreadsheets and APIs
  • Approval and escalation flows over Slack, email and WhatsApp

How it runs

Trigger
Extract
Decide
Act
Notify
How we work

A short path from idea to something running

Fixed-scope phases, weekly demos and a bias toward getting real usage early. No six-month discovery decks.

01

Week 1

Discover & scope

We audit the workflow, data and systems, then agree on the highest-leverage problem to solve first and how we’ll measure it.

02

Weeks 2–3

Prototype

A working slice in front of real users fast — enough to prove the approach, expose the edge cases and lock the design.

03

Weeks 4–8

Build & ship

Production engineering: tests, evaluations, security review, CI/CD and observability. We deploy behind your gates.

04

Ongoing

Operate & improve

We monitor accuracy, cost and uptime, retrain and tune, and hand over documentation and dashboards your team owns.

Automated workflows in production

Manual hours removed per month

Enterprise & scale-up clients served

Average ROI on delivered projects

Who you work with

A small senior team, hands on the keyboard

No handoffs to a junior bench. The people who scope your project are the people who build it.

Paul Aderoju

Paul Aderoju

Lead & Solutions Engineer

AI systems, architecture, delivery

Michael Asere

Michael Asere

Design & Product Lead

Product strategy, UX, research

John Ashaolu

John Ashaolu

Frontend Lead

Interfaces, design systems, DX

Track record

Shipped for payments, healthcare and community

Years of production work with fintech leaders and mission-driven organisations across Africa.

Empathy Space
Golden Legacy
Flutterwave
Paystack
MonieSwitch
Ladda
Empathy Space
Golden Legacy
Flutterwave
Paystack
MonieSwitch
Ladda
Empathy Space
Golden Legacy
Flutterwave
Paystack
MonieSwitch
Ladda
Empathy Space
Golden Legacy
Flutterwave
Paystack
MonieSwitch
Ladda
“PADARLabs took a process that ate two days a week and turned it into something that just runs. They understood the payments domain from the first call.”
Operations lead · fintech partner
Start a project

Tell us what you want to automate

A short note is enough. Include the workflow, the systems involved and what a good outcome looks like.

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