AI automation focused on real ROI - not hype.
AI is only useful when it removes real work. We help SMBs identify the right processes to automate, then build LLM-powered workflows, Copilot deployments and custom agents with proper guardrails.
What's included
- Process discovery & ROI modelling
- LLM-powered workflow automation
- Document & invoice data extraction
- Microsoft Copilot deployment & governance
- Custom AI agents (n8n / Make / Zapier / code)
- Knowledge base & internal search
- Guardrails, logging & access controls
What clients come to us with
- Hours lost to repetitive admin and data entry
- Copilot deployed without governance or training
- Documents and invoices manually re-keyed into systems
- Customer support overwhelmed by repetitive questions
- Reports that take a person a day to assemble
What you can expect
- Hours per week reclaimed for higher-value work
- Cleaner data and fewer manual errors
- Copilot rollouts that are useful and safe
- Automations you can actually maintain
Who this is for
- Operations, finance and HR teams
- Professional services firms with repetitive document work
- SMBs evaluating Microsoft Copilot
What we work with
How we deliver
Free assessment
30-minute audit of your environment, risks and quick wins.
Clear roadmap
A right-sized plan with scope, cost and timeline - no bloat.
Engineer-led delivery
Senior engineers implement without disrupting your team.
Ongoing improvement
Quarterly reviews, automation and continuous hardening.
Where ai automation services engagements go wrong
The patterns we see most often when taking over from a previous provider.
Picking a tool before picking a process
Buying Copilot or n8n without a target workflow leads to demos, not value. Pick one high-volume process and measure baseline first.
Skipping permission cleanup
AI surfaces whatever the user can access. If SharePoint sharing is messy, AI makes the mess visible across the org.
No human-in-the-loop on first releases
Early automations should require human approval before sending, posting or paying. Remove the gate once accuracy is proven over weeks.
Treating prompts as production code without versioning
Prompts and agent configs need source control, review and rollback like any other code.
What the first month looks like
A typical ai automation services rollout, phase by phase.
Process discovery
Map 3-5 candidate workflows, measure current time/cost, pick one to pilot.
Pilot
Build with guardrails, run shadow mode against real volume for 2-4 weeks, measure accuracy and time saved.
Production
Turn on for real users with logging, human-in-the-loop where needed, and clear escalation paths.
Scale
Move to the next workflow, build a small internal library of reusable components, train a champion on your team.
Common questions
Related services
Managed IT Services
Proactive monitoring, patching and engineer-led support that keeps your team productive.
Cybersecurity Services
Layered defence, identity protection and compliance support built around real SMB risk.
Microsoft 365 Services
Tenant design, security hardening, Intune, SharePoint and Teams done properly.
Let's right-size your IT in 30 minutes.
No sales pitch. We review your current environment, identify key risks and quick wins, and leave you with a practical roadmap you can actually use.
Prefer a shorter introductory call first? Quick intro calls are also available.
- Microsoft 365 review
- Security quick wins
- Backup & recovery assessment
- Infrastructure recommendations
- Operational risk review
A prioritized list of quick wins, risks, and next steps. Yours to keep, whether we work together or not.