Support resolution agents
Collect relevant account history, check policies and prepare a response. Route exceptions to your team and require approval before sensitive changes.
AGENTIC AI DEVELOPMENT
AI agent development.
Automate business workflows.
Build AI agents that work through defined tasks, use your business tools and bring people in when a decision needs judgement. Turn disconnected steps into a workflow your team can follow and control.
AGENTS WITH A JOB TO DO
Give each agent a purpose.
Connect the work around it.
Agentic AI combines a model with tools, context and a controlled execution loop. We design the boundaries as carefully as the capabilities.
Workflow coordination
Move a request through classification, data checks and assignment across connected tools, with clear ownership and escalation when a step fails.
Research and reporting
Gather information from approved sources, compare findings and prepare a report with references, highlighting gaps for a reviewer.
Sales preparation
Organise account context, summarise conversations and draft follow-up tasks in your CRM. Keep your team in charge of outreach and commitments.
Document-driven tasks
Read incoming documents, validate required fields and prepare updates for review. Handle missing information through an explicit exception path.
Agents inside your tools
Connect approved APIs, knowledge sources and internal applications with scoped credentials, tool allowlists and a record of each action.
AN EXAMPLE TO BUILD ON
One request.
A coordinated response.
A customer asks for an order update. An agent can retrieve the order, check shipment information and draft an answer. If the information conflicts or the request involves a refund, it hands the case to a person.
The result is a defined sequence of useful actions, with checkpoints your team can inspect.
Concept example. Availability depends on your systems and permissions.EXAMPLE / ORDER SERVICE AGENT
Check. Prepare. Escalate.
Retrieve authorised context Confirm the customer and fetch only the order information needed.
Use permitted tools Check shipping status within a limited execution budget and stop if a tool fails.
Review before commitment Draft a sourced reply and request approval for refunds or account changes.
PRACTICAL STARTING POINTS
Where can AI agents help your team?
Start with a repeatable process where the inputs, permitted actions and expected outcome are clear. These are example workflows to scope against your systems.
Customer and order enquiries
Retrieve order records, check shipment updates and prepare a reply with the information used. Route disputed details, refunds and account changes to a person for review.
Document intake and review
Extract fields from incoming documents, compare them with required information and flag missing details. Keep a reviewer responsible for accepting records before they enter your business system.
Internal knowledge and operations
Find relevant policies, prepare task checklists and draft updates in connected tools. Limit access by role and include source references so the team can check the result.
What does a first AI agent pilot need?
Bring one workflow, a few representative examples, the tools it needs to access and a definition of success. Scope permissions, approval rules, test cases and expected running costs before connecting production systems. Explore custom AI development if your main need is document processing or a knowledge assistant.
BUILT FOR ACCOUNTABILITY
Autonomy needs boundaries.
Define the limits
Agree on allowed tools, data access, approval steps, time limits and spending budgets before the agent acts.
Test the whole workflow
Measure task completion, tool errors and escalation quality. Include misleading inputs, unavailable services and unexpected results.
Keep execution visible
Record tool calls and outcomes, monitor cost and latency, and provide stop controls and human handoff when a workflow cannot continue safely.
BEFORE YOU START
Questions about agentic AI.
How is an agent different from a chatbot?
A chatbot mainly responds to messages. An agent can select tools and work through several steps toward a defined goal, within the permissions and limits you configure.
Do we need multiple agents?
Not necessarily. A single focused agent or a conventional workflow may be simpler and easier to evaluate. We add specialised agents only when distinct responsibilities justify the extra coordination.
Can an agent operate without human review?
Some low-impact tasks can run within agreed limits. Actions such as payments, account changes or external commitments should have approval rules matched to their consequences. Agents can make mistakes, so evaluation and monitoring remain essential.
Where should we begin?
Choose a recurring task with clear inputs, a measurable outcome and accessible tools. A focused pilot helps establish whether an agent improves the workflow before expanding its access or responsibilities.
START WITH ONE USEFUL WORKFLOW
What could your team
move forward faster?
Share a process with too many handoffs or repeated checks. We can help define an agent pilot with clear goals and boundaries.
Plan your agentic AI project ↗