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Case studies

Proof that workflow fixes beat AI theatre

Synced measures success by operational improvement: time saved, steps removed, quality raised, and systems that keep working after handover.

How to read the work

1

Before

Manual setup and release work slowed delivery.

2

Intervention

Synced mapped blockers and rebuilt the handoffs.

3

After

The team kept the system, docs, and source code.

Customer story

How Hatched turned delivery friction into a repeatable engineering system

A practical AI workflow story, from engineering bottlenecks to a calmer delivery system the team could own.

A developer workspace with setup notes, code screens, release cards, and scattered engineering workflow documents.
01The friction

Engineering momentum was getting lost before work could begin

Slow setup, manual releases, repeated context switching

Hatched had a capable delivery team, but local setup, release checks, and handoffs were taking too much attention away from the work that mattered. The workflow needed less manual pushing and more repeatable momentum.

A collaborative workshop table with people mapping engineering blockers, workflow cards, and review checkpoints.
02The audit

Synced mapped the blockers across setup, CI/CD, review, and release

Discovery turned blockers into a practical build plan

The engagement started by making the hidden workflow visible. Synced traced the places where developer setup, review habits, release steps, and internal handoffs were creating friction for the team.

A clean engineering workstation with source code, automation cards, review checks, and deployment pipeline steps.
03The build

A cleaner delivery pipeline replaced the repeated manual steps

1 command to get new developers productive locally

Synced built a one-command local setup, tightened the CI/CD flow, and added AI-assisted quality checks around the existing engineering process. The work stayed practical, owned, and close to the tools the team already used.

A team workshop where people review workflow cards, documentation, and delivery process changes.
04The rollout

The new system landed with the team, not just the codebase

Delivered in 2 days on-site with practical handover

The workflow was documented, explained, and handed over in a way the team could actually keep using. That meant clearer habits, less dependency on memory, and a delivery process that was easier for new developers to join.

A calm engineering dashboard showing workflow health, release pipeline progress, and delivery metrics.
05The result

Hatched kept the speed gains without losing control of the system

~70% less setup time and ~40% fewer manual release steps

The result was a faster, calmer engineering workflow: less setup drag, fewer manual release steps, and a stronger foundation for AI-assisted delivery checks that the team could continue to own.

What proof means

Case studies should show the work got easier to run

The point is not a shiny demo. It is whether the team has fewer repeated tasks, cleaner ownership, and a system they can keep using.

Operational problem first

Each story starts with the repeated work or delivery friction that was costing the team time.

Practical route

The solution is scoped around the fastest useful improvement, not a generic AI implementation.

Owned handover

The output is documented, handed over, and built so the client can keep improving it.

More results

Other projects in the pipeline

These are representative of the type of work Synced delivers. Full case studies with client approval will replace these as they become available.

Agency — workflow automation

Brief intake to project kickoff, automated end to end

A digital agency spending 3+ hours per project on manual brief processing, folder creation, and team notification. Synced built an automated pipeline: brief submitted, project workspace created, team notified, timeline drafted — all within minutes.

~3 hrs saved per projectZero manual setup errors
Operations — AI assistant

Internal knowledge base that actually gets used

A growing services business where new staff kept asking the same onboarding questions. Synced deployed a RAG-powered internal assistant trained on company documentation — with human escalation for anything it couldn't answer confidently.

~65% fewer repeat questionsOnboarding time halved

Your project

See yourself in these problems?

Start with a discovery call. 30 minutes to understand your workflow, identify the quickest wins, and decide if there's a fit.

Bring the workflow that keeps slowing your team down. We will help you identify the quickest wins and whether there is a practical AI route.

Useful examples, honest scope, and a clear next step before any build work starts.

Book a discovery call

Discovery output

Repeated task

What keeps coming back

Practical route

What to improve first

Clear next step

What is worth scoping