Turn AI adoption into real productivity.
We help small businesses turn AI experiments into measurable hours saved and revenue gained. No hype, just results.
Most AI pilots die quietly.
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You don't know what you don't know
AI moves fast. It is genuinely hard to see which capabilities apply to your workflows and which are noise dressed up as a demo.
- 02
Too many tools, not enough signal
Your team is drowning in AI products with no map of what to adopt, when, and why. Evaluating them is itself a full-time job.
- 03
Inertia wins by default
Old habits stick. Without structured, hands-on practice in the context of real work, behaviour never shifts and the ROI never shows up.
Three things, done properly.
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AI opportunity mapping
We work through your workflows with your team and identify the highest-impact use cases, prioritised by what can actually be measured.
You get a ranked shortlist, not a strategy deck.
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Pilot design & rollout
We design and run focused pilots that validate ROI quickly, build internal confidence, and create a clear path from experiment to production.
You get a working system with a human in the loop.
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Training
We train your teams to use AI tools effectively and safely in their day-to-day work, in your context, with your tools and your compliance realities.
You get habits that outlast the engagement.
Before we build anything, we find out what is worth building.
The hardest question in AI adoption is not which model to use. It is which twenty minutes of someone's day a machine should be doing. DeskMate answers that with evidence instead of a workshop: it watches how you actually work for a week, then tells you which parts should be a machine's job.
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It watches a week of real work
Not what a process document says your team does. What they actually do, captured passively while they get on with it.
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Nothing leaves the laptop
OCR runs on-device. Emails, card numbers, keys and passwords are redacted, and screenshots are deleted after 30 days.
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You get ranked candidates
Time spent per app and per workflow, plus step-by-step automation proposals, each scored by how confident it is.
One thing it does not do yet: measure whether the automations it proposes actually get adopted. It tells you what is worth building, not whether you built it.
Results we can point at.
Every engagement starts with a baseline: we time the existing workflow before we touch it. That is the only way these numbers mean anything.
- 10× The volume 20 → ~200 drafts a day, no extra headcount
- 5% The reply rate Identical to the manual process it replaced
- 95% Sent untouched Up from 73% in week one as the system tuned
- Vessl AI GTM automation
An AI GTM pipeline that drafts 200 emails before your morning coffee
A multi-tool prospecting workflow rebuilt as one n8n pipeline: conference calendar, CRM, research and Gmail. Each morning ~200 personalised drafts land in the inbox, reviewed and approved in under 30 minutes.
- Drafts per day
- 10× 20 → ~200, same headcount
- Reply rate
- Unchanged 5% before and after
- Daily human time
- −50% 60 → 30 minutes
Measured over 8 weeks Read the case study - Relocation agency Operation agent
An operation agent that replaced manual coordination, per move
An agency drowning in human touch points, training costs and volatile headcount. We deployed a dedicated AI operation agent per move to handle coordination end to end, 24/7, with human approval at every critical step.
- Response time
- Minutes down from 3–4 days
- Cases per operator
- 5× 10+ → 50+
- Freed per case
- 6 h coordinator time
Measured over 8 weeks post-deployment Read the case study
Not sure where AI actually fits in your business?
Thirty minutes, no pitch deck. We walk through your workflows and tell you honestly where AI would help and where it would not.