Pillar 2
AI Automation for Business Operations
Turn repetitive work into reliable AI workflows, built, run and improved by our team.
- Senior engineers only
- NDA on request
- Fixed-scope starting point
Is this you?
Sound familiar?
Your team re-types data between systems every day.
Documents, emails or tickets pile up waiting for manual processing.
You tried AI tools but nothing stuck in production.
You want automation, but not another tool your team has to maintain.
Outcomes
What we solve
- Document and invoice processingOutcome: Data extracted, checked and posted without re-typing.
- Email and ticket triageOutcome: Requests sorted, routed and drafted for review.
- Data extraction and entryOutcome: Information moved between systems automatically.
- Report generationOutcome: Recurring reports assembled and sent on schedule.
- CRM and ERP updatesOutcome: Records kept current without manual updates.
- Internal knowledge assistantsOutcome: Answers from your own documents, with sources.
Why managed automation
Automations break when models, APIs and processes change. We own them long-term so they keep working.
Services
Services in this pillar
- Fixed scope
AI Automation Opportunity Assessment
Find the automations that save the most time, before you build anything.
Learn more Managed Automation Retainer
We build, monitor and improve your automations so they keep working.
Learn more
Start here
Begin with a fixed scope
A short, fixed-scope engagement shows exactly where you stand and what to do next. No long commitment.
Fixed scope · Price on request
AI Automation Opportunity Assessment
Find the 3–5 automations worth building first, with estimated hours saved and a roadmap.
- Staff interviews and process mapping
- Volume and time estimates
- Prioritized automation list
- Implementation roadmap
Ongoing support
Managed AI Automation Retainer
We build the automations, then run them: monitoring, fixing and improving as your tools and processes change.
Essential
Keep existing automations healthy.
Tailored to your scope
- Monitoring and maintenance of existing automations
- Monthly report of hours saved
- Reporting:
- Monthly
Growth
Keep adding value every month.
Tailored to your scope
- Everything in Essential
- One new or improved workflow per month
- Reporting:
- Monthly + quarterly review
Partner
Automation as a capability.
Tailored to your scope
- Everything in Growth
- Dedicated capacity
- Roadmap planning
- Integration with internal teams
- Reporting:
- Weekly + quarterly review
Every retainer is scoped in a written proposal after a short call. Compare tiers on How we work.
Process
How an engagement runs
- 1
Discovery
A short call to understand your team, tools and where the manual work is.
- 2
Opportunity assessment
We map processes and estimate the time each automation would save.
- 3
Build priority automations
We build the top automations with human review where it matters.
- 4
Measure
We track hours saved and error rates against the baseline.
- 5
Run & improve
We monitor, maintain and extend the automations over time.
FAQ
Frequently asked questions
Which tools do you integrate with?
Google Workspace, Microsoft 365, common CRMs, ERP and accounting systems, helpdesks, and custom systems with an API or database we can reach securely.
What happens when an AI model changes?
We test automations against model updates and pin versions where it matters. Under a retainer, adapting to model and API changes is our job.
Is our data used to train models?
No. We use providers and settings that don't train on your data, and we document where data flows for your records.
How do you measure results?
We agree a baseline during the assessment, typically hours spent and error rates, and report against it every month.
Do we need technical staff?
No. We build and run the automations. Your team reviews outputs where a human check is needed.
Insights
Related insights
AI Automation
Which Business Processes to Automate First with AI
How to choose your first AI automations: a simple scoring method, the processes that usually pay off, the ones to avoid, and how to run a small pilot.
4 min read
AI Automation
Why AI Automations Break (and How to Keep Them Running)
Most AI automations fail quietly months after launch. The five reasons we see most often, and the operating habits that keep automations reliable.
6 min read
Vibe Coding
Taking an AI-Built Prototype to Production
Your AI-built prototype works and users are arriving. What to add before it holds real data: tests, CI/CD, environments, monitoring, backups, cost limits.
5 min read
Free resource
Where should your first AI automation be?
Get our guide to the 20 automations SMBs deploy first, grouped by department.
- 20 automations
- Typical effort and impact
- A simple way to pick your first three
Get in touch
Tell us what you're building.
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