AI agent development services

AI Agent Development with Defined Actions, Limits and Approvals

Give recurring business tasks a defined workflow, approved tools and clear oversight.

Assess a focused AI agent use case with MTI Tech. Start with tasks such as gathering information or preparing drafts, then define the tools, records and approvals the agent needs. Test the workflow before expanding its authority.

MTI Tech eagle mascot raising a wing in a calm stop gesture beside a small helper robot, holding a tablet with a padlock and checkmark
Job card · illustrative Prepare an account summary
  • Read records
  • Draft summary
  • Send message
  • Change account
  • Initiate payment
What is an AI agent?

An assistant that can select and use tools.

An AI agent uses information and permitted tools to pursue a defined task. It can choose steps based on the situation, so its actions need clear limits, testing and oversight.

Chatbot

Provides answers through a conversational interface.

Fixed workflow

Follows predefined steps and decision rules.

AI agent

Selects steps and permitted tools to complete a task.

Task flexibility
Testing and controls
Business use cases

Begin with a focused, reviewable task.

Explore account summaries, service-request preparation or suggested queue actions. Start with read-only or draft-only access, then consider additional actions after evaluation and business approval.

?

Compare the agent with ordinary automation before choosing the implementation.

Start hereRead-only
ThenDraft-only
Tested and approved
Only if justifiedExpanded access
Tool permissions and approval controls

Define which actions the agent can take.

Specify permitted tools, accessible records and approval requirements. Keep sending, account changes, orders and payments outside a summary task unless they are explicitly authorized.

Approved boundary
Outside or approval required
Tap a tool

The agent works only with the tools inside the boundary.

Stop conditionDefinedEscalation routeNamed team

Agree on stop conditions, an escalation owner and a way to pause the workflow. The controls shown are illustrative.

Agent evaluation

Review the complete action sequence.

Check whether the agent used the right information and completed the permitted task. Test incomplete inputs, conflicting instructions, tool failures and attempts to exceed its authority.

Incomplete inputsConflicting instructionsTool failuresUnauthorized actions
Completion message“Task complete. Summary sent.”Looks fine
  1. Read account record
  2. Read service queue
  3. Queue tool timed out, 3 items missing
  4. Attempted “send message”: outside boundary, blocked
Trace review: not the right task. The message sounded complete; the action sequence shows otherwise.
Illustrative trace
Pilot-to-production review

Agree on the conditions for launch.

Review delivery ownership, test findings, access controls, cost and support before a production decision.

Launch checklist0 of 6 reviewed
Use this illustrative checklist to guide your review.
Agent-development questions

Before you grant any authority.

Some narrowly defined tasks can operate with limited intervention after testing. Actions that send messages, change business records or create commitments need explicit permissions and approval rules.

An agent may help when a task requires choosing steps based on changing information. For predictable processes, a fixed workflow is often easier to test and maintain.

The design uses scoped tools, approval checkpoints, activity records and a pause or escalation path. Testing should cover failure cases, but no system can guarantee correct behavior in every situation.

The tools, possible actions, input variability, data access, review interface and evaluation requirements determine scope. Ongoing model usage, monitoring and maintenance should be priced separately.

Start with a defined business task

Which task could an agent help complete?

Tell us the task, the tools it involves and which decisions your team must approve. Begin with a focused use-case assessment.

Assess an Agent Use Case ↗
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