Service line / AI Automation & Agents
Connect the work. Keep people in control.
Build agents and automations around real business processes, with clear permissions, exception handling and ongoing operation.
What this practice covers.
AI Process Automation
Teams lose hours a week to manual data entry, report assembly, and follow-up chasing — work that is repeatable but never gets prioritised for automation because nobody owns it.
AI Agents Development
Off-the-shelf chatbots are generic and AI agent hype rarely survives contact with a real, messy business process. Most companies need something narrower, better-trained, and properly integrated than a demo.
Document Processing Automation
Invoices, forms and requests arrive in inconsistent formats and create repetitive checking and re-keying work.
Agent Operations & Monitoring
Models, source documents and integrations change. A live system needs an owner and repeatable checks.
Legacy Systems Integration
Replacing a core system can be disruptive. Often the first step is making its data safely accessible.
From friction to a defined brief
Start with the problem. Build the right response.
A useful engagement connects the business need to concrete deliverables and clear responsibilities.
The goal is clear, but the scope is not.
We map the users, systems and constraints before agreeing deliverables.
The work spans several tools or teams.
We define handoffs, access and approval responsibilities as part of the brief.
A launch alone does not establish success.
We agree acceptance criteria, handover and a method for reviewing what happens next.
Follow a document through a controlled automation.
An incoming request is checked, matched to approved context and routed. Exceptions reach a person before a system is updated.
Check that the input contains the information the process needs.
Incomplete or uncertain inputs move to a review queue.
Only the agreed branch updates the destination system.
Illustrative delivery model — not a client system or measured performance.
Capability / Build
AI Process Automation
We map your manual workflows, identify the highest-friction repeatable tasks, and build AI-assisted automations that run without you.
The problem we address
Teams lose hours a week to manual data entry, report assembly, and follow-up chasing — work that is repeatable but never gets prioritised for automation because nobody owns it.
What is included
- Workflow audit and diagram
- automation opportunity shortlist ranked by hours saved
- build of 2–4 priority automations
- integration with existing tools (CRM, helpdesk, spreadsheets)
- documentation and handover
- 30-day stability monitoring
How we approach it
- Workflow mapping before tooling — we diagram the actual process before recommending anything.
- AI used where judgement-light decisions repeat (routing, tagging, summarising, drafting), not as a blanket “automate everything” approach.
- Every automation ships with a runbook so your team can maintain it without us.
From first conversation to handover
- Map current workflows
- Shortlist automation candidates by ROI
- Build and test
- Integrate with existing systems
- Handover with documentation
- Monitor for 30 days
Who this is for
Operations teams drowning in repeatable manual tasks; companies with disconnected tools that should be talking to each other; businesses that have tried no-code automation and hit a ceiling.
Before we begin, the proposal confirms the deliverables, dependencies, exclusions and review points. Timing and any ongoing support are agreed for your specific scope.
Discuss AI Process AutomationCapability / Build
AI Agents Development
Discovery, build, integration, and a runbook — operational in weeks, not months.
The problem we address
Off-the-shelf chatbots are generic and AI agent hype rarely survives contact with a real, messy business process. Most companies need something narrower, better-trained, and properly integrated than a demo.
What is included
- Agent brief and architecture design
- knowledge base curation and training
- integration with existing systems
- testing, QA, and safety review
- staff training and documentation
- optional ongoing maintenance retainer
- Customer support: source-grounded answers and human escalation where scoped
- Internal knowledge: per-user access controls, citations and content review where scoped
How we approach it
- Agents are scoped to one job done well — a customer-service agent, a research agent, a competitive-intelligence agent — never a vague “do everything” assistant.
- Knowledge base curation and training is treated as seriously as the code.
- Every agent goes through a testing, QA, and safety review before go-live.
From first conversation to handover
- Define the agent’s single job and success metric
- Architect and build
- Curate and train the knowledge base
- Integrate with existing systems
- Test, QA, and safety review
- Train staff and hand over
Who this is for
Companies with a high-volume, repetitive decision or research task; businesses ready to move past chatbot pilots into a production agent; teams that need 24/7 coverage without 24/7 headcount.
Before we begin, the proposal confirms the deliverables, dependencies, exclusions and review points. Timing and any ongoing support are agreed for your specific scope.
Discuss AI Agents DevelopmentCapability / Build
Document Processing Automation
Extract, validate and route information into your systems, with people reviewing uncertain results.
The problem we address
Invoices, forms and requests arrive in inconsistent formats and create repetitive checking and re-keying work.
What is included
- Ingestion from agreed channels
- Structured extraction and validation
- Confidence-based human review queue
- Integration with a system of record
- Exception reporting and audit trail
How we approach it
- Start with the current process, data and constraints.
- Agree a named owner and measurable acceptance criteria.
- Test, document and hand over before expanding the scope.
From first conversation to handover
- Discover the process and agree scope
- Design the approach and acceptance checks
- Deliver and review with your team
- Validate, document and plan ongoing support
Who this is for
Businesses with a defined operational need and an internal owner available to work with the delivery team.
Before we begin, the proposal confirms the deliverables, dependencies, exclusions and review points. Timing and any ongoing support are agreed for your specific scope.
Discuss Document Processing AutomationCapability / Build
Agent Operations & Monitoring
Monitor reliability, review accuracy and manage changes with an ongoing operating rhythm.
The problem we address
Models, source documents and integrations change. A live system needs an owner and repeatable checks.
What is included
- Evaluation and regression checks
- Usage, error and cost monitoring
- Model-change review
- Documented improvement cycles
- Monthly report and review
How we approach it
- Start with the current process, data and constraints.
- Agree a named owner and measurable acceptance criteria.
- Test, document and hand over before expanding the scope.
From first conversation to handover
- Discover the process and agree scope
- Design the approach and acceptance checks
- Deliver and review with your team
- Validate, document and plan ongoing support
Who this is for
Businesses with a defined operational need and an internal owner available to work with the delivery team.
Before we begin, the proposal confirms the deliverables, dependencies, exclusions and review points. Timing and any ongoing support are agreed for your specific scope.
Discuss Agent Operations & MonitoringCapability / Build
Legacy Systems Integration
Create a controlled bridge between established software and modern workflows, with phased validation.
The problem we address
Replacing a core system can be disruptive. Often the first step is making its data safely accessible.
What is included
- System and business-logic discovery
- Read-layer API design
- Access controls and rate limits
- Controlled write-back where scoped
- Parallel-run validation and documentation
How we approach it
- Start with the current process, data and constraints.
- Agree a named owner and measurable acceptance criteria.
- Test, document and hand over before expanding the scope.
From first conversation to handover
- Discover the process and agree scope
- Design the approach and acceptance checks
- Deliver and review with your team
- Validate, document and plan ongoing support
Who this is for
Businesses with a defined operational need and an internal owner available to work with the delivery team.
Before we begin, the proposal confirms the deliverables, dependencies, exclusions and review points. Timing and any ongoing support are agreed for your specific scope.
Discuss Legacy Systems IntegrationPackages for this service line.
Custom AI Agent Build
£8,000–£40,000 per build.
Businesses with a clearly defined, high-volume function suited to a dedicated AI agent — customer service, research, competitive monitoring, internal triage.
Scope & delivery
- Agent brief and architecture design
- Knowledge base curation and training
- Integration with existing systems
- Testing, QA, and safety review
- Documentation and staff training
- Ongoing maintenance retainer available
Final scope, exclusions, third-party costs and tax treatment are confirmed in your proposal.
Workflow Automation Sprint
£4,500
For teams with a defined operational need, an available project owner and access to the systems in scope.
Scope & delivery
- Process mapping and exception catalogue
- Build, integrate, test against real data
- Eval set of 30+ cases with pass thresholds
- Runbook, rollback path, owner training
- 30 days of post-launch support
3 weeks
Final scope, exclusions, third-party costs and tax treatment are confirmed in your proposal.
Legacy Bridge
£18,000–£60,000
For teams with a defined operational need, an available project owner and access to the systems in scope.
Scope & delivery
- Schema archaeology and business-logic documentation
- Read-layer API with caching and rate control
- Controlled write-back with reconciliation
- Parallel-run validation period
- Handover documentation for the client's own team
8–16 weeks
Final scope, exclusions, third-party costs and tax treatment are confirmed in your proposal.
Document Processing Pipeline
£12,000
For teams with a defined operational need, an available project owner and access to the systems in scope.
Scope & delivery
- Ingest from email, portal, scan or EDI
- Structured extraction with confidence scoring
- Human-in-the-loop review queue for low confidence
- Write-back to ERP/CRM/finance system
- Full audit trail and exception reporting
6–8 weeks
Final scope, exclusions, third-party costs and tax treatment are confirmed in your proposal.
Agent Operations Care
From £950/month
For teams with a defined operational need, an available project owner and access to the systems in scope.
Scope & delivery
- Evaluation and regression checks
- Usage, error and cost monitoring
- Model-change review
- Documented improvement cycles
- Monthly report and review
Ongoing
Final scope, exclusions, third-party costs and tax treatment are confirmed in your proposal.
No packages in this selection. Choose another engagement type.
Before we begin.
Do we need a finished specification?
No. Start with the business goal, the current process and the main constraint. We can use a focused discovery engagement to turn that starting point into a brief.
Can you work with our existing systems?
We assess available access, integration routes and data quality before recommending changes. A replacement is not assumed.
How are scope and pricing agreed?
Catalogue prices describe starting points. Deliverables, exclusions, third-party fees, tax treatment and payment terms are confirmed in a written proposal before work starts.
What happens after launch?
We agree operational ownership, documentation, training and support needs as part of the engagement. Ongoing work is scoped separately where required.
Ready to define the next step?
Let’s scope ai automation & agents around your needs.
Tell us the goal and the constraint. We will help shape the right starting point.