Question 1

What is an AI agent, in plain English?

Accepted Answer

An AI agent is software that uses a language model to autonomously complete tasks  -  reading documents, searching data, sending communications, making decisions, and taking actions  -  within defined boundaries and with human oversight built in. Think of it as a highly capable digital colleague that handles a specific job, reliably and at scale.

Question 2

How long does a typical deployment take, from kick-off to production?

Accepted Answer

Simple, single-system agents: 4–6 weeks. Complex agents with multiple integrations and decision logic: 8–16 weeks. We scope accurately upfront so you know the timeline before we start.

Question 3

How is data security, privacy, and compliance handled?

Accepted Answer

Agents operate within your existing security perimeter. We implement access controls, audit logging, data handling policies, and  -  where required  -  on-premise or private cloud deployment. All builds are compliant with UK GDPR and any industry-specific regulations relevant to your business.

Question 4

Which platforms and models do you use?

Accepted Answer

We're platform-flexible. We select the right model for each use case  -  Claude (Anthropic), GPT-4 (OpenAI), Gemini, or open-source alternatives  -  based on accuracy, cost, latency, and privacy requirements. We have no commercial incentive to use any specific platform.

Question 5

How do agents integrate with our existing systems?

Accepted Answer

Via APIs, webhooks, and direct database connections. We've built integrations with Salesforce, HubSpot, Microsoft 365, ServiceNow, Xero, and dozens of bespoke systems. Integration complexity is scoped and priced upfront.

Question 6

Who maintains the agent after deployment, and how is it monitored?

Accepted Answer

We offer ongoing management through our AI Managed Services practice  -  covering performance monitoring, model updates, and iterative improvement. Alternatively, we provide full documentation and knowledge transfer for your team to own it independently.

Question 7

What does it cost to build and run an agent?

Accepted Answer

Build cost is fixed-fee based on scope. Running costs (model API calls, infrastructure) are transparent and optimised during build  -  we model cost-per-task upfront so you know the economics before committing.

Question 8

How do you control quality and accuracy, and what happens when an agent gets something wrong?

Accepted Answer

We use an evals-first approach: every agent is benchmarked against a comprehensive test suite before going live. In production, we implement confidence thresholds and human-in-the-loop escalation for cases where the agent is uncertain  -  so mistakes are caught before they have consequences.

What AI Agent Deployments means in practice

Production-ready from day one

Deep system integration

Human-in-the-loop by design

How we deliver AI Agent Deployments

Use Case Definition

Architecture & Tooling

Build & Evaluate

Deploy & Monitor

What sets us apart

Evals-first development

Platform-flexible

Outcome accountability

Explore our other services

AI Consultancy

AI Managed Services

Application Development

AI Workshops

Questions about AI Agent Deployments

See what we've built for businesses like yours

22% more viewings handled - without adding headcount

From 4-hour response times to under 90 seconds

Triple the campaign output - same team, no extra budget

First-pass contract review down from 90 minutes to 11

Client review prep time cut by two-thirds

Zero patient-facing outages in 12 months for a four-site physio group

A full platform rebuild delivered in 14 weeks

A practical AI workshop that led to a funded implementation plan

Quotes in 20 minutes instead of half a day

A clear AI roadmap for a 25-person law firm - in six weeks

Interested in our services?
Get in touch.

AI agents that handle the work, so your team doesn't have to.