Input
Email, form, CRM, file or event.
WORKFLOWS · AI · INTEGRATIONS
AI Automation for UK businesses and digital workflows.
AI is useful when it removes a specific bottleneck: classification, summarisation, extraction, assisted generation or simple decision support. We start with the process and the data, not the latest model.
Triggerclear trigger
Logicvisible rules
AIonly where it adds value
Humanapproval where it matters
PROCESS BEFORE AI
Good automation is explainable and recoverable. We know what triggers the workflow, what data it uses, where it can fail and when a person needs to intervene.
Automation starts by mapping the current process and where time is being lost. Only then do we choose AI, APIs or conventional rules for each step.
- Mapping the current process
- API / webhook integrations
- AI-assisted generation and classification
- Validation and human-in-the-loop controls
- Logging and error handling
- Measurement of time saved
FLOW
A healthy workflow has visible steps
Prepare
We clean and structure the data.
Logic / AI
Conventional rules or an AI model where it adds value.
Human check
Human approval remains where the risk justifies it.
Action
Update, notification, document or another output.
WORKFLOW DESIGN
Automation starts by understanding the manual process that needs to be simplified.
We map the steps, data, exceptions and approvals, then automate the stable parts. AI is introduced only where it creates measurable value and the output can be checked.
Map
We map the current workflow.
Select
We select the steps worth automating.
Prototype
We build a small, measurable pilot.
Guardrails
We add validation, approvals and logging.
Scale
We scale only after the workflow proves useful.
CONTROLLED AUTOMATION
A good workflow saves time without turning the process into a black box.
We connect forms, email, CRM, documents and AI services using clear rules, logs and control points. The automation should be traceable and easy to correct.
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AI & AUTOMATION IN DEPTH
Good automation reduces repetitive work without removing oversight and verification.
We start with the business process rather than the tool. Inputs, rules, exceptions and human approval points are defined first; AI or automation is introduced only where it provides a measurable advantage.
Processes before tools
We map the existing steps and time spent. Sometimes the right solution is a simple integration rather than a complex AI agent. We automate only after the expected behaviour and verification method are clear.
Integrations and data
We connect CRM, email, forms, documents and databases through APIs and webhooks. We define what data can be sent to external services and minimise unnecessary exposure of sensitive information.
Human review and fallback
For important decisions we keep human approval, logs and a fallback path. AI models can be wrong, so the system should be designed for verification and exceptions rather than blind trust.
PACKAGES & PRICING
Indicative AI & Automation packages.
Automation is scoped around the number of connected applications, workflow branches and the level of business logic or AI involved. The packages indicate different levels of complexity.
Discovery
£199project
- Process mapping
- Automation opportunities
- Roadmap
- Indicative ROI / time-saving estimate
Workflow
from £499project
- 1 automated workflow
- API integrations
- Human approval
- Documentation
Business Automation
from £999project
- Multiple workflows
- AI + business logic
- Dashboard / integrations
- Scaling plan
Your quotation identifies the integrations, automated steps and any external services that may create separate recurring costs.
FAQ
Questions about AI, integrations and automation.
We clarify what can be automated safely, where human approval is needed and which external services are involved.
Does automation replace employees?
The usual goal is to remove repetitive work and reduce errors, not to blindly automate important decisions.
Can we use the tools we already have?
Yes, where they provide an API, webhook or another secure integration method.
Is data sent to AI models?
Only where the workflow requires it, and after data, privacy and access rules are agreed.
Can we start with one process?
Yes. A focused pilot is often the best way to start.
THE NEXT STEP
Have an AI & Automation project?
Describe the manual process that is consuming time and the applications you use today. We’ll identify what is worth automating, what should remain under human control and where AI adds real value. Related services: web development, cybersecurity.
Request a quote →