01
Chasing updates
Faster answers
Today
People lose time asking where work is, what changed, and who owns the next step.
With Synced
AI summaries, nudges, and escalation paths keep work visible without another status chase.
Remove the repeated work putting pressure on your team
Synced builds people-first AI systems that save time, remove operational friction, and help businesses grow without burning out their team. We map the admin, handoffs, checks, and questions people repeat every week, then turn them into practical workflows with human judgement still in control.
Service outcomes
Less paid time lost to repeat work
Time recovered
Follow-ups, routing, reminders
Quality protected
Checks, approvals, review points
Knowledge reused
Answers, docs, handover
Cost reduced
Less paid time lost to repeat admin
Where services pay back
Start with the work people are tired of repeating
This is where services are scoped: repeated admin first, then the AI workflow that removes it, improves it, or routes it to the right person.
02
Moving data
Less duplicate admin
Today
Teams copy the same information between inboxes, CRMs, spreadsheets, project tools, and reports.
With Synced
Automation extracts, formats, checks, and routes information through the tools you already use.
03
Checking quality
Cleaner delivery
Today
Review steps happen late, inconsistently, or only when someone remembers to check.
With Synced
AI-assisted checks flag missing details, risky changes, and handoff gaps before they become rework.
04
Answering repeat questions
Protected focus
Today
The same support, onboarding, process, and client questions pull experienced people away from deeper work.
With Synced
Assistants answer from your knowledge base and escalate the moments that need human judgement.
Service paths
Start with evidence, then build the right system
Most useful work falls into two stages: understand what the repeated workflow costs today, then build the smallest owned system that reduces it.
Workflow audit
Find where the saving is before you build
Map the current process, estimate paid time lost, score the AI opportunities, and leave with a prioritised route.
- Workflow map
- Cost-of-current-process estimate
- Prioritised roadmap
Implementation
Build the workflow once value and risk are clear
Turn the right opportunity into an owned system with automations, assistants, integrations, quality gates, and handover.
- Working pilot
- Human review points
- Documentation and ownership
Common examples
Practical AI use cases that make the saving easier to see
The best opportunities are usually ordinary: repeated updates, copied data, review checks, and questions that pull experienced people away from valuable work.
Status update summaries
Pull signals from project tools, inboxes, and notes so teams stop chasing the same updates manually.
CRM and project handoffs
Move the right information between sales, delivery, support, and reporting tools without copy-and-paste admin.
Invoice and admin triage
Classify incoming requests, extract useful details, flag missing information, and route work to the right person.
QA and review checks
Catch missing details, risky changes, and approval gaps earlier so avoidable rework is reduced.
Knowledge-base assistants
Answer repeat internal, onboarding, or support questions from your own documentation with clear escalation paths.
Proposal follow-up workflows
Draft next steps, reminders, and handoff notes so good opportunities do not stall in manual follow-up.
How it works
A clear path from messy workflow to owned system
Most engagements start with discovery. From there, we scope a sensible pilot before a larger build, so the investment is tied to evidence rather than AI hype.
Discover
Half-day or full-dayA focused deep-dive into how your business actually works. We map the workflow, identify friction points, and find the AI opportunities worth acting on first.
- •Workflow map
- •Prioritised opportunities
- •Written report and roadmap
Pilot
1–2 weeksWe pick one high-impact workflow and build a working pilot. This proves the approach before committing to a larger rollout.
- •Working proof of concept
- •Measurable before/after comparison
- •Go/no-go recommendation
Build
2–6 weeksFull implementation of the agreed workflows: automations, integrations, AI agents, and quality gates — built around your existing tools.
- •Production-ready workflows
- •System integrations
- •Documentation and training
Support
OngoingWe stay close enough to monitor performance, refine what is live, and extend the system as new opportunities surface.
- •Performance monitoring
- •Iterative improvements
- •New automation opportunities
Ways to work together
Three engagement types
Start with the level of commitment that matches the risk. Discovery finds the saving, implementation builds the system, and support keeps it useful.
Discovery and roadmap
A focused half-day or full-day deep-dive into your workflow, bottlenecks, delivery risk, and the AI opportunities worth acting on first.
- On-site or remote workflow review
- Prioritised AI opportunities with realistic savings framing
- Written report and implementation roadmap
- No obligation to build with Synced afterwards
Implementation
Custom AI workflows designed around the way your team already works — from automation and integration to guardrails and handover.
- Pilot one high-impact workflow first
- Full build with integrations and quality gates
- Documentation, training, and team handover
- Human-in-the-loop by default on every AI system
Ongoing support
Once the first implementation is live, Synced stays involved to monitor, improve, and extend the systems as needs evolve.
- Performance monitoring and refinement
- New automation opportunities as they surface
- Support for adoption and team confidence
- Retainer-based follow-on work
Technology
Model-agnostic, built on proven tools
Synced works across leading AI providers and integrates with the tools your team already uses. The service is about business outcomes, not forcing you into one vendor.
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
Agency specialism
Especially useful where delivery has too many moving parts
Synced is not limited to agencies, but agency-style operations are a natural fit: repeated briefs, reviews, handoffs, QA, reporting, and client communication.
Manual delivery steps
Deployment, reporting, and release workflows that still depend on someone remembering the next action.
Review bottlenecks
QA and approval steps that create delay, inconsistency, or expensive rework.
Repeat client comms
Content, onboarding, and client communication processes that should be faster and more consistent.
Hidden knowledge
Internal delivery systems that depend too much on tribal knowledge and manual explanation.
Engagement style
Clear scope, honest advice, useful delivery
If AI is not the right answer for part of the workflow, that gets said early. The aim is lower operating cost, better delivery, and systems your team can actually own.
Start with a discovery conversation. 30 minutes, no pitch — just clarity on where AI could save time and where it is not worth the effort.
Human-in-the-loop on every system. Full ownership of everything we build. No lock-in contracts.
Book a callDiscovery output
Repeated task
What keeps coming back
Practical route
What to improve first
Clear next step
What is worth scoping