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01 / AI AGENTS

AI that doesn’t just
answer. It acts.

We build agents that retrieve information, connect to business systems and carry out defined tasks.

From a conversation
to completed work.

An agent combines AI reasoning with the information and tools needed to complete a task.

It can retrieve records, identify a next step and take an approved action, such as preparing a form or updating a connected system.

We define its scope, permissions and the decisions that stay with a person.

KNOWLEDGE CONNECTED TO ACTION

An answer.
And a way forward.

Give an agent the information and tools its task requires, with clear limits and human review at the right points.

See the HR agent in practice

Start with
the business task.

HR

Employee questions, policy retrieval, forms and document access.

Finance

Invoice intake, supporting information and repeatable processing tasks.

Operations

Work handoffs, process information and coordinated workflow steps.

Customer service

Retrieve relevant knowledge, prepare a response and escalate exceptions.

Research

Find information, compare sources and prepare a summary for review.

IT

Knowledge retrieval, request triage and actions within approved permissions.

01 / AGENT PATTERN

Task agents

A focused job with a clear input, output and stopping point.

02 / AGENT PATTERN

Workflow agents

A sequence of tasks, connecting information and actions across systems.

03 / AGENT PATTERN

Multi-agent systems

Specialized agents working together when a task calls for more than one role.

Connected.
With boundaries.

We connect agents to the systems the work depends on, with access limited to what each workflow needs.

Discovery covers permissions, exceptions and approval points. The agent’s freedom to act should match the consequences of its actions.

IN PRACTICE / ENERGY SECTOR

HR support
inside Microsoft.

~400

Estimated hours of HR effort saved annually in one deployment.

The agent answers employee questions, retrieves documents and performs controlled SharePoint actions through Microsoft.

Explore the case

Start small.
Prove the task.

Discover

Define the task, information, systems and outcome.

Prototype

Test the core task and human review points in a focused prototype.

Develop

Connect the required systems and handle exceptions.

Deploy and improve

Introduce the agent, review its performance and refine its scope.

START WITH THE TASK

Which task could
an agent take on?

Tell us about the repeated work, the information it needs and the systems it touches.

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