Applied AI and systems implementation

AI and automation.
Built into your business.

For established businesses with too much manual work. We build AI and automation around the documents, enquiries and admin your team handles every week, connecting the tools you already use.

Book a systems review See a larger implementation

Phase 1 enquiry, ad-lead and quote follow-up systems start from £2,000. Full systems are £3,000–£6,000 with management from £300/month; larger bespoke integrations are quoted individually. Upfront fixed prices with a written scope before work starts, and zero markup on software or ad spend. Where an existing specialist CRM or legacy software needs investigation first, a technical feasibility Blueprint is £950 (or £1,500+ for complex multi-system architecture), credited in full against implementation.

Two ways to work with Flow Local

Start with the problem worth solving.

Local growth

For a repeatable result

A website, enquiry handling, reviews and follow-up for a local service business. Advertising is an additional service, with ad spend separate.

Explore local growth

Consulting and implementation

For a specific operational problem

Custom CRM architecture, multi-step customer journeys, internal workflows, integrations and adoption work designed around your systems and team.

See a larger implementation

Where Flow Local can help

Bring the workflow that keeps falling between people and platforms.

01

CRM and customer journeys

Turn scattered contacts and manual follow-up into a process your team can see and operate.

  • CRM structure, fields, tags and pipelines
  • Lead intake, qualification and nurture
  • Member or customer onboarding
  • Campaign landing pages and reporting
02

Operational automation

Connect the steps that currently depend on copying, chasing, remembering or rebuilding the same thing.

  • Forms, inboxes and document processing
  • Internal notifications and approvals
  • Reporting and handoff workflows
  • Practical integrations across existing tools
03

AI adoption and training

Help staff use AI in real work without pretending every task needs an agent or every decision should be automated.

  • Role-specific workflow discovery
  • Prompt and review standards
  • Human-in-the-loop safeguards
  • Hands-on team training and handover

Selected evidence

Delivery, education and product-engineering background.

Michael's background spans building business software, teaching practical AI and developing internal tools. Employer work and pre-launch features are not presented as Flow Local client deployments.

AI product and brownfield integration

Causeway

Product-development work at Belfast edtech startup Inish Education Technology, on the Causeway education platform. Its AI features are not launched.

  • Employer product-engineering background, not a Flow Local client
  • Pre-launch AI development and evaluation
  • Python/FastAPI service integrated into a Laravel product
Read the Causeway case study

AI enablement and governance

Elvante

Tutoring business owners on a Level 4 AI & Automation apprenticeship, with practical exercises based on their work.

  • Workplace AI education and learner support
  • GDPR-sensitive workflows designed around the data boundary
  • Auditable employer approvals and evidence trails
Read the Elvante case study

Data pipeline and CRM automation

Prospect Intelligence

An internal Flow Local research pipeline for producing reviewable prospect lists. This is an internal tool, not a client-results claim.

  • Source discovery, enrichment and scoring by vertical
  • Human quality review where automation is imperfect
  • Review flow activating into GoHighLevel
View selected work

How the work runs

Fast first progress. Enough time to prove it works.

A system can pass a test and still fail in daily use. Longer engagements create an early working version, then use real activity to refine it and train the people who will own it.

  1. 1

    Diagnose

    Map the current process, failure points, data and ownership.

  2. 2

    Scope

    Agree deliverables, dependencies, boundaries and acceptance checks.

  3. 3

    Build and validate

    Ship the first working improvement early, then test it with controlled real use.

  4. 4

    Adopt and hand over

    Train the team, document routine operation and leave a prioritised next-step backlog.

What a larger implementation can look like

An illustrative 90-day CRM and adoption journey.

Month 1

Foundation

Audit, data structure, integrations, pipeline and the first controlled end-to-end test.

Month 2

Conversion

Lead journeys, nurture, campaign assets, reporting and refinement using real activity.

Month 3

Retention and ownership

Onboarding, final testing, staff training, operating guidance and handover.

This is an illustration, not a generic package. The project follows your business process, available data and team responsibilities.

A good fit

Specific problem. Named owner. Willingness to change the process.

Good fit: you can identify the operational problem, the people involved and the outcome that would make the work worthwhile.

Not a fit: a vague strategy deck, automation for its own sake, or an unlimited pool of technical support disguised as a project.

Start with the problem

Bring one workflow that should work better.

Bring one time-consuming task. We can decide whether a focused build, more detailed discovery or no project at all is the right next step.

Book a systems review Email Michael