AI and Automation
AI Agents
Create task-oriented, tool-using workflows with permissions, checkpoints and audit trails.
Service overview
What AI Agents should accomplish
Create task-oriented, tool-using workflows with permissions, checkpoints and audit trails. We begin by reviewing the task, source data, permissions, failure modes, human review and operating cost, then scope the work so the responsible team can run and improve it after delivery.
Service focusAI Agents
Create task-oriented, tool-using workflows with permissions, checkpoints and audit trails.
Discuss this service ↓Problems solved
When this service becomes useful
AI pilots lack grounded sources, evaluation, permissions or a safe route into daily operations.
The current approach to AI Agents does not have a clear owner, acceptance criteria or agreed measure of success.
AI Agents decisions are split across teams, tools or suppliers, creating avoidable gaps in delivery.
Suitable for
A sensible fit when
- Teams that need to create task-oriented, tool-using workflows with permissions, checkpoints and audit trails
- Organisations reviewing AI Agents before a launch, migration or major investment
- Operations, service, sales and marketing teams automating repeated work without losing control or traceability
Key benefits
What the work should improve
- A clear decision on AI Agents, tied to the business goal and audience
- Less rework because data access, permissions, review points and failure handling are resolved before production
- Named ownership, quality checks and a practical way to track quality, time, cost and exception data
Deliverables
Outputs from AI Agents
AI Agents review and requirements brief
AI Agents workflow, data and control design
AI Agents implementation with documented quality checks
AI Agents evaluation results, runbook and governance handover
Working process
AI Agents: from review to handover
Define
Specify the task, boundaries and accountable owner for AI Agents.
Ground
Connect AI Agents to approved information, tools and permission rules.
Evaluate
Test AI Agents against realistic cases, errors and escalation paths.
Govern
Release AI Agents with monitoring, human review and change control.
Platforms and technologies
Selected to fit the requirement
OpenAI-compatible APIsAnthropic-compatible APIsVector databasesWorkflow platformsCRM APIsPythonTypeScriptCloud services
Frequently asked questions
Questions about AI Agents
What is included in AI Agents?＋
Create task-oriented, tool-using workflows with permissions, checkpoints and audit trails. The final scope lists the decisions, implementation work, review points and handover needed for that outcome.
How does WebGeneric choose an approach for AI Agents?＋
We compare the task, source data, permissions, failure modes, human review and operating cost. The recommendation reflects the client's priorities, current setup and ability to operate the result.
What should the client team provide for AI Agents?＋
Example tasks, approved source material, system access, permission rules, exception cases and named reviewers.
Enquire about AI Agents
Share the requirement, current system and useful constraints.
We will use the information to confirm whether this service is the right starting point.
Discuss AI Agents