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Agents

Agents wired to your tools and permissions. They run a defined workflow from start to finish and report what they did. Delivered configured and working, not as a starter template you have to finish.

AI agents, robot on a blue background

Licensing: One-time, per organization

Delivery: Configured and tested

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Overview

An agent carries out a defined, multi-step process on its own. It reads the inputs, uses your tools within the permissions you set, and produces a result with a record of each step. We build agents for work that follows a pattern but needs judgment along the way, such as sorting incoming requests, preparing a report from several sources, or reconciling records between systems.

Built for control

  • Permissions are set tool by tool, so an agent can read one system and write to another only where you allow it
  • Approval points pause the agent before any action a person should confirm
  • Every run leaves a log of what the agent read, decided and did
  • Clear limits define when the agent stops and hands the task to a person

How an agent is delivered

Agents arrive configured for your systems, tested on your own examples and documented. You receive the configuration and source, a runbook for the person who owns it, and a walkthrough with your team.

How an agent runs

Every agent we deliver follows this shape. You decide where the approval points sit.

  1. 1

    Trigger

    A new email, a form, a schedule or a request from a person starts the run.

  2. 2

    Gather

    The agent reads the inputs it needs from the systems you have connected.

  3. 3

    Work

    It carries out the defined steps, using each tool only within the permissions you set.

  4. 4

    ApproveYour call

    Before any action you flag, the agent pauses and a person confirms or corrects it.

  5. 5

    Report

    It delivers the result with a log of what it read, decided and did.

Gartner expects over 40% of agentic AI projects to be canceled by the end of 2027, citing escalating costs, unclear business value, and inadequate risk controls. We keep each agent narrow, prove it on your examples, and build the controls in from the start.

Source: Gartner, June 2025

What you receive

  • The configured agent and its source
  • Documented permissions and approval points
  • A runbook for the person who owns it
  • The test set used to prove it
  • A walkthrough with your team

Questions

Can the agent act without a person?

Only where you allow it. You choose which actions need approval, and you can change that later.

What systems can an agent connect to?

Most systems with an API or a supported connector, such as email, calendars, CRMs, spreadsheets and document stores. We confirm the specific connections on the scoping call.

What happens when our process changes?

The configuration and source are yours, and the runbook explains how to change them. We can also make the change for you.

Which AI models do you use?

The ones your organization has approved. The documentation notes what would need to change if you switch.