Contract compliance
Extract commitments from supplier contracts and check every invoice against them to recover overbilling.
Enterprise AI
AI strategy that ships.
Most enterprises don't lack AI ideas. What they lack is the bridge between the strategy deck and a system running inside the business. Simplabs is that bridge: we set the strategy, then embed alongside your teams to make it real.
AI reads. Rules decide.
The forward-deployed model
We work where the work happens
A forward-deployed team doesn't advise from a distance. It sits with Finance, Procurement or Operations, learns the real process and data, and builds AI into the workflow, iterating weekly with the people who will use it.
Strategy, architecture and delivery stay connected, so what gets built is what the business actually needs, and what gets approved can actually be built.
- Embedded, not remote. A small pod inside your business team, on your systems and data.
- Outcome-owned. Each embed has a measurable target agreed with the business owner.
- Built to hand over. Your people are part of the pod from day one and own the result.
- Enterprise-grade. Architecture, security and data protection agreed with IT and Risk up front.
Our principle
AI reads. Rules decide.
OverviewAI your auditors can follow
Finance and compliance can’t run on a model’s best guess. Each layer has one job, and only the right layers make decisions.
Layer 01 of 04Your systems of record
ERP, contract repositories, bank files and inboxes stay the source of truth. Nothing is copied into a black box.
Layer 02 of 04AI reads and extracts
Models read contracts, invoices and remittances once, turning them into structured data: rates, caps, obligations, references, amounts.
Layer 03 of 04Rules decide and act
Transparent, documented business rules apply your policy to match, approve, flag or escalate. They work the same way every time and are easy to audit.
Layer 04 of 04People approve and improve
Your teams handle exceptions and approve what matters. Their decisions feed back into the system, building capacity and confidence.
The Simplabs AI playbook
From strategy to production in four moves
Find the volume
Target the high-volume, document-heavy work where AI adds most value: contracts, invoices and receipts, controls, reporting.
Set the guardrails
Agree architecture, security, data protection and governance with IT, Risk and Legal before anything is built.
Embed and build
Deploy the forward-deployed pod. Extract, connect to the system of record, apply rules, and release in short cycles on live data.
Build capacity
Stand up an AI Centre of Excellence, operating model and skills so your teams can scale what works.
Where we apply it
Enterprise AI use cases we focus on
Cash application
Read remittances and match incoming payments to invoices automatically, cutting unapplied cash.
AP invoice automation
Self-learning capture and coding that reduces manual invoice processing inside your ERP.
Governance, risk & compliance
Continuous monitoring of access, segregation of duties and control exceptions.
Collections & disputes
Predict late payment, prioritise collections and spot disputes early.
Finance insight
Natural-language access to ERP data and automated commentary for management reporting.
Measuring AI
Value realised, not just cost saved
We judge AI by what it adds to the organisation's capacity, not only by what it removes from the cost base.
Volume
Work processed
Contracts reviewed, invoices and remittances read, and controls checked by AI in live workflows.
Capacity
Capability built
Team time redirected to analysis, exceptions and decisions, so growth is absorbed without adding headcount.
Adoption
Use across the business
Teams and processes using AI day to day, and the internal skills to extend it.