AJM AJM
Agentic AI

Agentic AI

AI that carries out multi-step work inside your systems.

We build agents for you: ready to take on the repetitive, multi-step work eating your team's time, connected directly to the systems you already run on.

agent-console, task queue
New vendor invoice received
Checking purchase order match
In progress
Shipment delay flagged, carrier API
Drafting exception notice
In progress
Customer refund request
Awaiting policy threshold approval
Needs approval
Weekly reconciliation summary
Completed, logged to reporting
Completed

Illustrative interface, representing how an agent works across your systems.

What is an AI agent?

Judgment, context and action

An AI agent combines a language model with business data, APIs, software tools and a defined workflow. Instead of producing a single response, it can check a system, retrieve relevant information, take an action and decide what to do next, within limits your team defines.

Smart agents that handle your API integrations end to end

Where this shows up in practice

Banking and financial services
Reconciling transactions across core banking and reporting systems automatically.
Shipping and logistics
Tracking shipments and equipment across carrier and ERP systems, flagging exceptions without a manual lookup.
Raw materials and supply chain
Watching supplier and inventory systems for shortages before they reach production.
Any enterprise system
If the work is repetitive, cross-system and rule-bound, an agent can very likely take it on.
What we build

Agents that act on your business systems.

Enterprise AIAI agentsAgentic AI architectureAI orchestrationLLM integrationRAGEnterprise knowledge systemsAPI integrationTool useHuman in the loopAI governanceAI evaluationAI observabilityMulti-agent systems
Example workflow

What an agent actually does, step by step.

01
Employee request
↓
02
Agent interprets request
↓
03
Retrieves internal information
↓
04
Checks enterprise systems
↓
05
Uses approved tools
↓
06
Produces action
↓
07
Human approval
Where required by policy
↓
08
System records outcome
Agent architecture

How the pieces fit together.

01
User / business process
↓
02
Agent orchestration
↓
03
Language model
↓
04
Tools and APIs
↓
05
Enterprise data
↓
06
Business systems
↓
07
Human approval
Human oversight

Control stays with your team

Business critical workflows can include approval steps, defined permissions, logging and monitoring. An agent can be scoped to draft and recommend rather than act unilaterally, with clear boundaries around what it is allowed to do without a person in the loop.

Project scoping

Scope a project with our assistant

This assistant is an AI. It drafts a brief for our team; it does not quote prices or timelines.

Tools we have worked on
OpenAI, Anthropic, Google Gemini, Azure AI, Python, FastAPI, LangGraph, MCP, Power Automate, n8n
Representative, not exhaustive. We are not limited to a fixed stack and work with whatever your environment already runs on.

Discuss an AI automation project

Tell us about a process that currently depends on manual review.

Discuss an AI automation project