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About Synced

People-first AI systems, built by people who understand delivery

Synced exists to help businesses save time, remove operational friction, and grow without burning out their team. AI only belongs where it makes work calmer, clearer, and easier for people to run.

25+ years

digital delivery experience

Practical first

systems that fit how teams work

Client owned

clear handover, source code, and docs

Background

Why Synced exists

After 25+ years in digital work, the pattern is familiar: teams lose time and energy in the same places again and again, while most AI advice still stays at the level of theory. Synced was created to close that gap with people-first, delivery-focused implementation.

Synced is led by Scott Mackey, whose background spans more than two decades of building digital products, running delivery, and solving operational problems inside agency and client environments. That perspective matters because AI implementation only works when it fits the reality of how teams already operate.

The goal is not to force AI into every corner of a business. It is to identify the points where better systems create real relief, reduce team pressure, and remove operational friction, then build those systems quickly and sensibly.

Before Synced, Scott spent years building and shipping products across agency, startup, and enterprise environments — from frontend architecture and engineering leadership to operational workflow design. That cross-discipline experience is what makes Synced different: the AI recommendations come from someone who has actually run the delivery, not just theorised about it.

Practical over theoretical

Every recommendation is grounded in delivery reality, not abstract AI possibility.

Honest about fit

If AI is not the right answer, simpler automation or process changes get recommended instead.

Human oversight

Approvals, exceptions, and sensitive steps keep clear human review points.

Useful handover

The aim is client ownership, documentation, and less consultant dependency.

Principles

Responsible AI as a baseline, not a feature

AI implementation carries real responsibility. Synced treats ethics, privacy, and human oversight as non-negotiable foundations — not marketing checkboxes.

Human oversight on every system

Every AI agent and automation includes clear escalation paths and human-in-the-loop checkpoints. Nothing runs unsupervised in production without deliberate sign-off.

Privacy-first data handling

Your data stays yours. Synced follows consent-first principles for any AI system that touches customer or team data. No training on client data without explicit agreement.

Transparent about limitations

If AI is not the right answer for a particular workflow, that gets said early. Synced will recommend simpler automation or process changes where they are genuinely more effective.

No vendor lock-in

Model-agnostic across Anthropic Claude, OpenAI, Google Gemini, and open-weight alternatives. If a provider raises prices or changes terms, your system can move.

Technology

Tools and platforms we work with

Synced is model-agnostic and platform-flexible. We choose the right tool for the job, not the one we have a partnership with.

AI providers

  • Anthropic Claude
  • OpenAI
  • Google Gemini
  • DeepSeek

Platforms and infrastructure

  • Vercel AI SDK
  • AWS Bedrock
  • Pinecone
  • Supabase

Integrations

  • Slack
  • GitHub
  • Notion
  • HubSpot
  • Jira
  • Google Workspace
  • Office 365

Positioning

For businesses that do not have time for fluff

Synced is especially relevant for founder-led businesses, operationally busy teams, and digital agencies that need a stronger workflow but do not want to build an internal AI department from scratch.

If your team keeps losing time to the same admin, handoffs, and delivery checks, start with one workflow and find the practical route forward.

Practical advice, clear scope, and honest recommendations before any implementation work begins.

Book a callVisit Scott Mackey UK

Discovery output

Repeated task

What keeps coming back

Practical route

What to improve first

Clear next step

What is worth scoping