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AI opportunity assessment
We map your workflows, find the tasks where AI saves real hours, and rank them by impact, effort and risk.
AI consulting by DevMind
Practical AI, built into how you already work.
We help small and mid-sized businesses figure out where AI genuinely saves time or money, prototype it in weeks rather than quarters, and integrate it safely into the tools your team already uses.
We ship.
We build and maintain our own products, like CopyDown. Advice comes from doing the work.
Plain English.
No hype and no jargon. If AI isn’t the right answer for a problem, we’ll tell you.
Privacy first.
Your data stays under your control, with the provider and hosting setup that fits your requirements.
Services
From first question to production.
Start with a single workshop or bring us in end to end. Every engagement is scoped to what you actually need.
Rapid prototypes
A working proof of concept on your real data in a few weeks, so decisions are based on results rather than slides.
LLM integration
Production-grade integrations of models like Claude, GPT and Gemini into your apps, back office and APIs, with evaluation and guardrails.
Workflow automation & agents
Triage inboxes, extract data from documents, draft replies and reports, with a human in the loop where it matters.
Knowledge assistants
Search and chat over your docs, wikis and tickets, with answers that cite their sources and respect permissions.
Team enablement
Hands-on sessions that teach your team to use AI tools well, plus simple policies for using them safely.
How we work
Four steps. No surprises.
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01
Discover
A short call and workshop to understand your goals, data and constraints.
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02
Prototype
We build the smallest thing that proves the value, and measure it.
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03
Ship
Harden it for production: security, monitoring, costs and fallbacks.
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04
Hand over
Documentation and training so your team owns it, with ongoing support if you want it.
Engagements
Start small. Grow if it works.
Workshop
1–2 days
A focused session with your team that ends with a prioritized list of AI opportunities and a recommended first project.
- ✓Workflow mapping
- ✓Opportunity scorecard
- ✓Written recommendations
Pilot
Recommended start2–6 weeks
One use case, built end to end on your data, with clear success metrics agreed up front.
- ✓Working prototype
- ✓Evaluation & cost estimate
- ✓Production roadmap
Partner
Ongoing
A senior engineer on call for your AI roadmap: building, reviewing, and keeping things running as models change.
- ✓Monthly retainer
- ✓Architecture & code review
- ✓Model & cost updates
Tools and platforms we work with
Anthropic Claude
OpenAI
Google Gemini
Open-weight models
Cloudflare Workers
TypeScript
Python
Swift & macOS
React Native
Vector search
MCP
FAQ
Good questions.
We’re not technical. Is this for us?+
Yes. Most of our conversations start with “we know we should be using AI, but where?” We explain trade-offs in plain language and handle the technical side.
What happens to our data?+
It stays yours. We pick providers and configurations that match your requirements, avoid sending data where it isn’t needed, and are happy to sign an NDA before we start.
Which AI models do you use?+
Whichever fits the job. We’re vendor-neutral and design systems so you can switch models as better or cheaper ones appear.
How much does it cost?+
It depends on scope. After an intro call we send a short written proposal with a fixed price for workshops and pilots, so you know the cost before anything starts.
Have a process that feels like it should be automated?
Tell us about it. We’ll reply with a few practical ideas and a suggested first step.
[email protected]