Remote delivery for UK SME owners and operational leaders

Connect the systems your operation depends on.

We map work trapped across spreadsheets, email, CRM, finance tools and legacy systems, then deliver bounded automation, integrations and operational software through a clear UK package.

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A miniature operational landscape where repetitive documents and inbox work pass through a controlled AI system into reviewed outputs, with a clock and modest coin stacks representing saved time and cost.

Save hours and money on work that AI already does best

Built around your operation, not a preferred vendor stack.

  • Inbox & forms
  • CRM & sales
  • Finance & billing
  • Support & delivery
  • Files & knowledge
  • Internal systems

From unclear workflow to owned operating system.

Every implementation follows the same control points. The scope changes; the discipline does not.

  1. Discovery

    Map the workflow

    • Trace the current flow across people, tools, and handoffs.
    • Name the exceptions, delays, and decisions that matter.
  2. System design

    Draw the boundaries

    • Separate deterministic rules from judgment calls.
    • Define approvals, permissions, recovery, and ownership.
  3. Implementation

    Build the system

    • Connect the tools already carrying your operation.
    • Create only the interface and orchestration you need.
  4. Validation

    Test real scenarios

    • Run normal, edge, and failure paths with your team.
    • Make logs and alerts useful before anything goes live.
  5. Rollout

    Launch with control

    • Release in stages with clear operators and fallbacks.
    • Document the system so your team can own it.

The full flow stays visible.

Inputs, exact rules, bounded AI work, human review, and system updates remain separate enough to inspect and control.

OPERATING FLOW / 001CONTROLLED DELIVERY
Requestsforms · email · files
Rulesvalidate · route · sync
Bounded AIextract · classify · draft
Approvalreview low confidence
SystemsCRM · finance · ops
Illustrative orchestrated pattern, not a promised outcome: deterministic work stays separate, AI has a bounded role, and consequential decisions remain with people.

Four ways to remove operational burden.

The right answer may be a connection, an automation, a focused application, or a diagnosis before anything is built. Each path starts with the real workflow.

Explore all solutions

Three systems.
One operational flow.

Not an AI demo and not a pile of disconnected tools. We combine software, exact automation, and bounded judgment where each belongs.

01

Custom web apps

Focused internal tools, client portals, and operations hubs shaped around how your team actually works.

One place to see state, act on work, and manage exceptions.
02

Deterministic automations

Reliable rules for repetitive work: validate, route, transform, notify, reconcile, and record.

Predictable behaviour where the answer should never be a guess.
03

Bounded AI agents

AI for classification, extraction, drafting, and research inside explicit permissions and approval gates.

Judgment where it helps, guardrails wherever it can fail.

Inspect the work and its evidence boundary.

The library combines published work, anonymised implementations, research projects, and representative designs. Each card states its status so a concept is never presented as a UK client result.

View all cases and blueprints
01

Published case study — attributed implementation

PaxBespoke operations automation

EnquiryConsultationRoom dataProposalDeposit

An integrated operations layer connecting customer records, consultations, room data, proposals, signatures, deposit invoices, and timed follow-up for a bespoke wardrobe manufacturer.

Operations app + four connected workflow systems

Inspect the work
02

Published case study — attributed implementation

Danova Next accessible travel platform

Partner dataStandardizeCentralizePresentUpdate

A multilingual web application that brings accessibility information from airports, ports, and public-transport partners into one structured, inclusive experience for travellers with disabilities.

Accessible web application + shared partner data model

Inspect the work
03

Published case study — attributed implementation

Web development for Power of God and Pedu Media

Brand directionResponsive designContent pathsConversionRelease

Two distinct websites built for different jobs: an online store for Power of God and an agency website for Pedu Media, each with its own visual identity, navigation and conversion path.

Two public websites with independent design and functionality

Inspect the work
04

Published case study — attributed implementation

AngajatAI agentic AI platform

Company contextAgent workSchedulesIntegrationsConnected apps

A proprietary agentic platform that gives AI agents company context, structured work, recurring schedules, connected tools and deployable sub-applications inside one operating environment.

Proprietary agent platform + six operational product surfaces

Inspect the work
05

Published case study — attributed implementation

saved.md web publishing SaaS

ConversationPage briefApprovalPublishUpdate

A SaaS application that lets web agents turn conversation context into shareable Markdown, HTML or JSX pages while users control publication, updates and reuse.

SaaS application + agent publishing interface + versioned web pages

Inspect the work
06

Delivered engagement — identifying details removed

WhatsApp order processing and custom CRM

WhatsAppOrder contextAI conversationCRM statusHuman handoff

An integrated WhatsApp, AI agent and custom CRM system that handles personalized wall-art order conversations in parallel, keeps order status visible and hands complex cases to the team with their context intact.

WhatsApp agent + custom order CRM + escalation interface

Inspect the work
07

Solution blueprint — not a client result

Lead intake to qualified opportunity

CaptureValidateEnrichApproveSync

A controlled intake system that captures enquiries, checks required data, researches the account, and routes a review-ready opportunity to the right owner.

Workflow map + routing specification

Inspect the work
08

Solution blueprint — not a client result

Service delivery operations hub

RequestPlanAssignTrackReport

A focused web application that connects signed work, delivery milestones, client requests, internal ownership, and exception handling in one operational view.

Web app + automation blueprint

Inspect the work
09

Solution blueprint — not a client result

Request and document triage

ReceiveExtractCheckReviewRecord

A traceable queue that receives requests and documents, validates their contents, proposes a route, and keeps ambiguous or sensitive cases with the right human owner.

AI boundary + exception design

Inspect the work

The full workflow stays visible.

Each layer has one job. Data can be checked before it reaches AI, uncertain work can pause for a person, and every action can leave a useful record.

Evidence your team can inspect.

01

Workflow map

Current state, target state, actors, systems, triggers, and handoffs.

02

Scenario set

Normal paths, edge cases, missing information, duplicates, and failures.

03

Rules and boundaries

Exact logic, AI scope, confidence thresholds, permissions, and approvals.

04

Working system

The agreed app, automations, integrations, and operator surfaces.

05

Acceptance tests

Checks tied to your real scenarios before staged rollout.

06

Ownership package

Documentation, accounts, responsibilities, monitoring, and change guidance.

How we build with your team.

A six-step path from one operational bottleneck to a system people can trust and own.

  1. 01

    Bring one stubborn workflow

    We start with a real process, the people inside it, and the tools it crosses—not a predetermined automation package.

  2. 02

    Map the current state

    We document triggers, data, decisions, handoffs, exceptions, and the actual cost of the current flow.

  3. 03

    Design the operating model

    Together we decide what should be deterministic, where AI is appropriate, and where a person must stay in control.

  4. 04

    Build in usable slices

    We connect systems and ship the smallest complete path first, so your team can react to working software early.

  5. 05

    Validate against reality

    Your scenarios become acceptance tests, including missing data, duplicate requests, integration outages, and low-confidence AI outputs.

  6. 06

    Roll out, document, improve

    We release with monitoring, operator guidance, and clear ownership, then evolve the system as the workflow changes.

Support stays bounded and accountable.

For systems we deliver, ongoing work can cover agreed maintenance, monitoring, incident handling, and a regular review. Coverage, response expectations, hosting, accounts, and costs belong in the written agreement. New development is scoped separately.

  • Maintenance and dependency updates
  • Monitoring and documented incident paths
  • Regular review of changes and risk
  • A separate scope for new development
Discuss lifecycle requirements

Choose the next step that matches your uncertainty.

Use a free diagnostic when the problem is still forming, inspect evidence when you need confidence, and request a consultation when a real workflow is ready for review.

01

Workflow mapper

Answer three bounded questions and receive a preliminary system direction without sharing confidential information.

02

Decision guides

Work through practical maps, checklists, and decision tables for spreadsheet-dependent operations.

Read the guides
03

Case and proof library

Inspect delivered, published, anonymised, research, and concept work with the evidence boundary visible.

Inspect the cases
04

Fixed UK delivery packages

Compare the £3,500 diagnostic, £15,000 automation sprint, £35,000 app foundation and £2,000/month care plan, including their written boundaries.

View packages and pricing

Choose the right kind of system for the workflow.

Not every problem needs custom software. AutomateFlow is a fit when the work crosses tools, carries exceptions, and needs clear operational ownership.

Swipe or scroll to compare the columns.

Comparison of AutomateFlow, off-the-shelf tools, and ad hoc scripts
What the workflow needsAutomateFlowOff-the-shelf toolAd hoc script
Fits a cross-tool operational flowYes: Designed around itPartial: Only within product limitsPartial: Possible, but fragmented
Rules and AI responsibilities are explicitYes: Included in the designPartial: Varies by vendorNo: Rarely documented
Human approvals and exception pathsYes: Built into the flowPartial: Configuration dependentNo: Usually manual
Interface shaped for your teamYes: Custom where neededNo: Standard interfaceNo: No shared interface
Ownership, logs, and handoverYes: Delivered with the systemPartial: Vendor dependentNo: Depends on its author

A standard tool is often the better answer for a standard process. We will say so when mapping the workflow points there.

Your questions, answered.

The practical questions teams ask before putting software and AI inside an operational flow.

Ask us directly

Usually not. We first map the systems already carrying the workflow and connect them where their APIs and permissions allow. A custom app is introduced only when your team needs a clearer place to operate the process.

Initial consultation

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Do not include passwords, customer data, documents, production exports, or sensitive data.

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Operational automation and custom software for UK SMEs