By industry
AI agents by industry
Unmatrix AI builds agents for regulated and operational industries where the work is document-heavy, rule-bound and spread across systems: banking, insurance, government, healthcare, fintech and e-commerce. Each page names the workflows we typically start with, the constraints that shape the build, and a worked example of a deployment.
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- Agents for banking
Banking
Lending, onboarding, and compliance
Where we start
- KYC and periodic review
- Lending file preparation
- Reconciliation breaks
- Agents for insurance
Insurance
Claims, underwriting, and policy
Where we start
- First notice of loss and triage
- Underwriting submission intake
- Claims document review
- Agents for government
Government
Secure public-sector AI services
Where we start
- Permit and licence processing
- Benefits and grants casework
- Citizen enquiries
- Agents for healthcare
Healthcare
Patient and clinical workflow agents
Where we start
- Prior authorisation
- Referral management
- Clinical documentation support
- Agents for fintech
Fintech
Fraud, onboarding, and payments
Where we start
- Fraud alert and dispute investigation
- KYB and KYC onboarding
- Payment exceptions
- Agents for e-commerce
E-commerce
Discovery, support, and conversion
Where we start
- Product discovery and guided selling
- Order and returns support
- Catalogue operations
How every one of them is built
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Agent architectures
Compare the three architectures Unmatrix AI builds enterprise agents on: autonomous ReAct agents, LangGraph workflow agents and RAG agents with hybrid search.
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Forward deployed
Two to four engineers embed at your office for twelve weeks to take one agentic workflow from scoping to production, then hand it to your team.
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Security and guardrails
How every Unmatrix AI system handles PII and PHI, defends against prompt injection, limits what an agent can do, and is tested before go-live.
Questions
Industries and fit
Do you only work in these industries?
No. These are the industries where we have the most repeatable starting workflows. Manufacturing, logistics, energy and professional services follow the same pattern and we build there too.
Do you bring industry-specific agents off the shelf?
We bring the platform, the guardrails and the playbooks. The agent itself is built on your systems and your cases, because that is what makes it work in production.
Which industries need on-prem models?
Government, healthcare and parts of banking most often. Where a hosted API is not approved we deploy open-source models inside your boundary and run the same evals.
Next step
Your industry is not on the list? The pattern still applies.
If the work is rule-bound, document-heavy and spread across systems, tell us where it piles up. We will say whether an agent fits.