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unmatrixai

Solutions

Four kinds of system, one way of building them

Each one is built in your environment, on your data, with your operators reviewing it weekly. The platform underneath is shared, so the second agent is faster than the first.

Workflow agents

Agents that carry a piece of work from intake to completion across your ERP, CRM and ticketing systems.

Built as

LangGraph workflow agents

Most enterprise work is a chain of small decisions spread across five systems and three inboxes. A workflow agent takes the case, gathers what it needs from each system, makes the routine decisions, drafts the rest for a person to approve, and writes the result back. Every action is logged and reversible.

Typical use cases

  • Claims intake and triage
  • Supplier and customer onboarding
  • Invoice matching and reconciliation breaks
  • Purchase order exceptions
  • Change requests and approvals

Works with

  • SAP
  • Oracle
  • Salesforce
  • ServiceNow
  • Jira
  • Microsoft 365
  • Google Workspace

Knowledge and retrieval agents

Grounded answers over policies, contracts and engineering documents, with citations and your existing permissions.

Built as

RAG agents with hybrid search

Your organisation's knowledge lives in document stores, wikis, tickets and a few people's heads. A knowledge agent answers questions with citations to the source, respects who is allowed to see what, and says so when it does not know. It gets better as your operators correct it.

Typical use cases

  • Policy and procedure questions for frontline staff
  • Contract clause lookup and comparison
  • Engineering and maintenance documentation
  • Regulatory and compliance queries
  • Internal help desk deflection

Works with

  • SharePoint
  • Confluence
  • Google Drive
  • Box
  • Snowflake
  • BigQuery
  • Databricks

Operations copilots

Assistants that sit beside support, operations and field teams to draft, triage and escalate in real time.

Built as

Autonomous ReAct agents

A copilot does not replace the operator. It reads the case as it arrives, pulls context from your systems, proposes the next action and drafts the response. The operator edits and sends. Over time, the routine cases move to the agent and the operator's time goes to the hard ones.

Typical use cases

  • Customer support drafting and case summarisation
  • Dispatch and field service scheduling
  • Shipment exception handling
  • Collections and dunning outreach
  • Nurse and care coordinator queues

Works with

  • Zendesk
  • Salesforce Service Cloud
  • Genesys
  • Slack
  • Microsoft Teams
  • Twilio

Agent platform and guardrails

The shared layer every agent runs on: evals, permissions, audit logs, review queues and model routing.

Built as

Guardrails and security

The first agent is a project. The fifth is a platform problem. We build the shared layer in your environment so each new agent inherits evaluation, permissions, audit and cost controls instead of reinventing them. Your security and platform teams own it from day one.

Typical use cases

  • Evaluation suites built from real cases
  • Human review queues for risky actions
  • Role-based permissions per tool and system
  • Full audit trail of every agent action
  • Model routing, fallbacks and cost budgets

Works with

  • Okta
  • Microsoft Entra
  • Datadog
  • Splunk
  • AWS Bedrock
  • Azure OpenAI
  • Anthropic
  • Your VPC

How we keep agents safe

Guardrails are part of the first build, not the go-live checklist

Evals from real cases

Every agent ships with a test suite built from your actual work, run on every prompt, model or code change.

Human review on risky actions

Actions above an agreed threshold wait in a queue for a person. Approval takes one click; rejection teaches the agent.

Audit log for every step

What the agent read, decided and wrote, with timestamps and the model version, exportable to your SIEM.

Permissions per tool

Agents inherit least-privilege roles from your identity provider. A read-only agent cannot become a write agent by accident.

Private deployment

Runs in your VPC with private model endpoints. Prompts and documents do not leave your boundary.

Routing and cost controls

Frontier models where reasoning matters, small models where it does not, with budgets and fallbacks per workflow.

Next step

Not sure which one fits? Start with the workflow, not the category.

Tell us where the work piles up. We will say which kind of system fits, or if none does.

Book a call