The team behind
AI that does the work.
AI Brigade builds enterprise AI that listens, understands, reasons and acts inside the systems a business already runs, and hands the decision to a person wherever judgement is required.
01Who we are
An execution layer,
not another screen.
Most enterprise AI stops at the answer, and a person still reviews it, decides and takes the action. We build the other kind: agentic systems that execute across systems, tools and teams, end to end.
We work in fintech and banking, healthtech, retail and customer operations, and industrial and energy. We start every engagement the same way: with one workflow, not a transformation program.
Talk to the team- Perth AmboyUnited StatesHeadquarters
- DubaiUnited Arab EmiratesMiddle East delivery
- IslamabadPakistanEngineering
02What we hold ourselves to
Four rules
we build by.
They decide what we build, what we will not build, and what we say about it.
- 01
Proof before promise
We don't claim an outcome without naming the thing that was built. All nine of our products have their own page and a demo you can watch.
- 02
The system does the work
Most AI stops at the answer and leaves a person to act on it. Ours goes past the response: it acts in the system of record, and the record proves it did.
- 03
A person wherever judgement is required
Human-in-the-loop wherever judgement is required. The handoff is designed first, not added after the first incident. Thresholds live in a policy your team owns and can change.
- 04
Evidence, not dependency
The first engagement should leave you with proof you can act on and a system your team can run, not a vendor you cannot leave.
03How we work
Start with one workflow.
Earn the right to expand.
No enterprise-wide transformation program is required to establish whether the approach works.
- 01
Identify
Choose one meaningful workflow with measurable pain: slow, expensive, manual, risky or frustrating. We'll tell you whether AI can materially improve it.
- 02
Prove
Design the workflow and the agent, then build it against real business conditions and the systems you permit us to reach.
- 03
Measure
Outcomes compared against your own operating baseline, on numbers your team already trusts.
- 04
Scale
Productionize, then reuse the capabilities across adjacent workflows. The second workflow costs less than the first.
04Where we work
Six sectors,
one execution layer.
Four tracks, each with its own agents. Each one says plainly whether its proof is already built or carried over from an adjacent sector.
Every agent, sector by sectorFintech
Imagine your bank with a digital workforce.
six agents
- Customer agent
- Fraud agent
- Collections agent
- Operations agent
- Knowledge agent
- Employee copilot
Proof built
- AXON
- FraudZero (live fraud detection)
- AI Outbound Voice Engagement
- Private Enterprise LLM
Healthtech
Imagine administrative work moving before staff have to chase it.
six agents
- Patient access agent
- RCM agent
- Patient financial agent
- Knowledge agent
- Supply agent
- Workforce copilot
Transferable proof
- Voice AI
- Outbound Voice
- Private RAG/LLM
- Voice Inventory
Retail & Customer Ops
Imagine every frontline team having an AI operator beside them.
six agents
- Inventory agent
- Store ops agent
- Customer service agent
- Outbound agent
- Agent assist
- Analytics agent
Proof built
- AI Voice Retail Inventory Manager
- AXON
- AXON 2.0
- AI Outbound Voice Engagement
Industrial & Energy
Imagine field and operations teams with governed AI at the point of work.
six agents
- Maintenance agent
- Field voice copilot
- Spares agent
- Work order agent
- Asset knowledge agent
- Exception agent
Transferable proof
- Private Enterprise LLM/RAG
- Voice Inventory
- AXON voice stack
- Workflow orchestration
Integration depends on the client's OT/SCADA architecture and permitted interfaces.
05Trusted by teams at
Start here
Bring us
one problem.
We’ll scope it with your team, build the system that handles it, and measure the result against your own baseline, in weeks, not a transformation program.
Every system we build
- ListenCalls, documents, events
- UnderstandIntent, context and policy
- ReasonModels and your rules, together
- ActExecutes across your systems