01
Intelligent customer support
Agents that handle queries 24/7 across chat, email and voice, resolving up to 80% of tickets without human escalation.
Service
AI Agents Development
Empower your business with intelligent, autonomous AI agents that perceive their environment, make decisions and take action to reach your goals, across customer support, sales and operations, around the clock.
- What it is
- An AI agent is software that plans and completes a multi-step task end to end: gathering information, deciding the next action, using tools and systems, and reporting the result.
- Typical timeline
- 4 to 8 weeks from discovery to a production agent running one scoped workflow.
- Scope
- One workflow per agent. Research, data processing, outreach, reporting and internal operations.
- Oversight
- Human-in-the-loop approval on any action with financial, legal or customer-facing consequence.
What we build
What are AI agents?
AI agents are autonomous software systems that perceive their environment, make decisions and take actions to achieve your business goals, without human intervention. We build them around your real workflows, connect them to your tools, and put the testing and guardrails in place to run them reliably in production.
From £2,000Typical starting point
2-4 weeksTo go live
Plans · acts · verifies+ human oversight
Why businesses choose AI agents
Always on, never tired
Agents operate 24/7/365 with zero downtime, sick days or performance dips, delivering consistent service at any hour.
Connects to any system
Integrates with tools like Salesforce, HubSpot, Zendesk, Slack and your custom APIs, with no rip-and-replace required.
Learns and improves over time
Every interaction sharpens performance, so results keep improving without additional development cost.
Scales instantly on demand
Handle 10 or 10,000 simultaneous interactions with no added headcount, scaling operations without scaling payroll.
What we build for you
02
Sales & lead automation
Qualify inbound leads, personalise outreach, schedule meetings and follow up, keeping your pipeline moving around the clock.
03
Process & data agents
Automate data entry, document processing, approvals and reporting across your back-office, eliminating errors and freeing your team.
04
Monitoring & intelligence
Proactively monitor systems, detect anomalies, surface insights and alert the right people before issues escalate.
How we deliver your AI agent
01
Discovery & process mapping
We audit your workflows, identify the highest-value automation opportunities and define success metrics before writing a line of code.
02
Agent architecture & design
We design the agent's decision logic, knowledge base, tool access and conversation flows, tailored to your use case and brand voice.
03
Integration & connectivity
We connect the agent to your CRM, helpdesk, databases, calendars and APIs, ensuring seamless data flow across your stack.
04
Training, testing & refinement
We test across hundreds of real-world scenarios, fine-tune responses and handle edge cases, so the agent performs reliably from launch.
05
Deploy, monitor & optimise
We deploy your agent, monitor performance with live dashboards and continuously optimise on real usage data, driving improving ROI.
AI agents
AI agents, answered.
What operations and technology leads ask before commissioning an agent.
Book a discovery callWhat is an AI agent?
An AI agent is software that completes a multi-step task without step-by-step instruction. It plans the sequence, calls the tools and systems it needs, handles what comes back, and reports the outcome, where a chatbot only answers the question in front of it.
How is an AI agent different from a chatbot?
A chatbot responds to messages. An AI agent takes actions: it reads systems, makes decisions across several steps, writes to your tools and finishes a job. Chatbots are measured on answer quality; agents are measured on tasks completed correctly.
What tasks can an AI agent handle?
AI Leap builds agents for research and market monitoring, bulk data processing and enrichment, personalised outreach sequences, recurring reporting, and internal operations such as ticket triage. Each agent is scoped to one workflow rather than made general-purpose.
How long does it take to build an AI agent?
Typically 4 to 8 weeks from discovery to a production agent running one scoped workflow. That covers scoping the task boundary, connecting the systems it needs, evaluating its outputs against a reference set, and setting the human approval points.
Ready to deploy your first AI agent?
A free 30-minute discovery call. We will look at your workflows and tell you, honestly, where an autonomous agent pays for itself and where it does not.