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WORKFLOWS · AI · INTEGRATIONS

Automation that removes repetitive work without hiding the logic behind it.

AI is worth using when it solves a concrete bottleneck: classification, summarisation, extraction, assisted generation, or simple decisions. We start from the process and the data, not from whichever model is trending.

AI & Automation — 47 Web Design illustration
AI / Automation
Triggera clear event
Logicvisible rules
AIonly where it helps
Humanapproval where it matters
PROCESS BEFORE AI

Good automation is explainable and reversible. We know what starts the flow, what data it uses, where it can fail, and when a human needs to step in.

Automation starts by mapping the process and the points where time gets lost; only then do we choose AI, APIs, or classic rules for each step.

  • Mapping the current process
  • API / webhook integrations
  • AI-assisted generation and classification
  • Validation and human-in-the-loop checks
  • Logging and error handling
  • Measuring time saved
FLOW

A healthy workflow has visible steps

TRIGGER

Input

Email, form, CRM, file, or event.

NORMALIZE

Preparation

We clean and structure the data.

DECIDE

Logic / AI

Classic rules or an AI model where it adds value.

APPROVE

Human check

Approval stays in place wherever the risk calls for it.

ACT

Action

Update, notification, document, or other outcome.

WORKFLOW DESIGN

Automation starts by understanding exactly which manual process needs simplifying.

We map the steps, data, exceptions, and approvals, then automate only the stable segments. AI is introduced where it adds measurable value and can be verified.

01

Map

We sketch out the current flow.

02

Select

We choose the steps worth automating.

03

Prototype

We build a small, measurable flow.

04

Guardrails

We add validation, approvals, and logs.

05

Scale

We expand only after seeing results.

CONTROLLED AUTOMATION

A good workflow saves time without turning the process into a black box.

We connect forms, email, CRM, documents, and AI services with clear rules, logs, and checkpoints. Automation needs to be easy to trace and easy to correct.

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AI & Automation — explanatory visual, 47 Web Design
PACKAGES & PRICING

Indicative packages for AI & Automation.

Automation is estimated based on the number of connected apps, how many branches the workflow has, and the level of logic or AI involved. These tiers indicate different levels of complexity.

Discovery

£179project
  • Process mapping
  • Automation opportunities identified
  • Roadmap
  • ROI estimate
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Business Automation

from £869project
  • Multiple flows
  • AI + logic
  • Dashboard / integrations
  • Scaling
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In the proposal we specify the integrations, the automated steps, and any external services that may generate separate monthly costs.

FAQ

Questions about AI, integrations, and automation.

We clarify what can safely be automated, where human approval is required, and which external services are involved.

Does automation replace employees?

The goal is usually to remove repetitive tasks and reduce errors, not to blindly automate important decisions.

Can we use the tools we already have?

Yes, as long as they offer an API, webhook, or another secure integration method.

Is data sent to AI models?

Only if the flow requires it, and only after we set the privacy and access rules.

Can we start with a single process?

Yes. In fact, a small pilot is often the best way to begin.

THE NEXT STEP

Have an AI & Automation project?

Describe the manual process that's eating up your time and the apps you use today. We identify what's worth automating, what needs to stay under human control, and where AI adds real value.

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