AI AGENTS

Put Multi-Step Business Work into Motion

RedChilli builds business-oriented AI agents that understand what’s coming into the system, figure out what can be done next, and then take appropriate action, thereby augmenting the existing enterprise knowledge AI.

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WHAT THIS PAGE COVERS

Where Agents Take on Work.

Business process AI agents combine interpretation and action across defined multi-step work, making them useful where fixed automation alone cannot manage every variation.

Multi-Step Tasks

Complete assigned tasks in multiple related steps and not just in one single step.

Context-Based Decisions

Evaluate varying information and decide the proper next step within the business context.

Approved Actions

Take permitted actions in connected systems instead of having someone manually execute every recommendation.

Exception Handling

Recognise cases outside agreed conditions and route them to the appropriate person for judgement.

Process Monitoring

Respond to agreed triggers, incoming work or changing conditions and start the appropriate process.

Controlled Autonomy

Define what an agent may complete independently and where human approval or escalation remains mandatory.

TYPICAL DELIVERABLES

A Defined Agent Ready for Work

Exact scope is agreed after discovery because a useful agent depends on your process, information, systems, permitted actions and exceptions. We can then address platform-specific delivery through our Microsoft Copilot Studio consultancy.

Explore Your Use Case

Prioritised agent use case.
Process and decision boundaries defined.
Information and system actions approved.
Human decision points and escalations.
Agent workflow tested for implementation.

EXAMPLE USE CASES

Where Agents Earn Their Place

Enquiry to Action

Interpret an incoming request, gather relevant context, update records and progress or route the next step.

Document Review

Review incoming documents and determine the necessary course of action.

Case Progression

Review the status and context of the case and perform actions that you are allowed to do.

Operational Follow-Up

Monitor outstanding work, gather updates and progress routine actions without repeated manual intervention.

DELIVERY APPROACH

From Candidate Process to Controlled Operation

Select

Select processes where interpretation will provide genuine value overrule-based processing.

Bound

Determine what is allowed as information, actions, exceptions and decision-making to keep in human hands.

Prove

Test through appropriate scenarios, extremes and failure modes before extending autonomous action.

Operate

Deploy within agreed controls and monitor process execution against business process objectives.

FREQUENTLY ASKED QUESTIONS

Practical Questions About Business Agents

What can AI agents do for a business?+

AI agents can interpret incoming work, gather relevant context, choose between permitted actions, update connected systems and progress multi-step tasks. They can escalate exceptions when a person needs to make the decision.

What is the difference between AI agents and automation?+

Traditional automation is based on deterministic behaviour and predetermined paths. AI-based agents are better suited to dynamic inputs that require interpretation or decision-making when choosing among permissible alternatives. In contrast, deterministic automation is preferred when all aspects can be predetermined.

Do AI agents need human oversight?+

The level of human oversight should reflect the task's risk and consequences. Sensitive, exceptional or high-impact actions can require approval, while lower-risk steps operate within defined permissions and escalation rules.

CONNECTED CAPABILITIES