AI integration
& strategy.
For small businesses who know AI matters but want a sensible plan, not another stack of subscriptions. We help you start small, prove it works, and expand from there. Local-first by if possible, cloud where it makes sense, and hosted inference for clients who’d rather test before they invest.
30-minute intro call · No deck · Your data stays put.
An AI plan that fits your business - not a vendor’s slide deck.
Team size we serve
Deployment paths
First plan delivered
Per-token AI bills *
§ 01 / WHO IT’S FOR
Small businesses,
real plans.
Built for 6–60 person teams.
Small enough to move fast, big enough that a few hours back every week compounds. We don’t pitch enterprise-scale theatre at businesses that need one good win first.
One workflow, then the next.
We help you pick the highest-leverage automation to start with — usually the thing your team complains about most. Ship that. Measure it. Expand from a base of evidence, not a slide deck.
Your data, your domain.
Default deployment runs on hardware you control. Inference, embeddings and conversation history never leave your network. Cloud where it genuinely helps; never as the default.
We watch the field so you don’t.
AI moves weekly. We keep a structured view of model releases, pricing shifts, and tooling changes — and tell you when something matters for your specific build. No FOMO, no hype cycles.
§ 02 / DEPLOYMENT PATHS
Three ways to
actually run it.
Local-first by default. Hosted-inference for teams that want to dip a toe in before investing in hardware. Cloud where it earns its place. We’ll tell you which one fits and when it might be time to switch.
Local-first
The default for most clients. Automations, inference, and data run on hardware in your office or rack. Every conversation, every embedding, every output stays inside your network. No tokens leave the building.
- Mac Studio or Nvidia hardware
- Full data sovereignty
- No per-token fees
- Best long-term economics
Hosted inference
For very small teams or anyone wanting to test before committing to hardware. You run your own server for data, vector DBs, and apps -- kept entirely separate from us. We host the LLM inference layer on our infrastructure; your server connects to ours only for inference calls.
- 100% data on your side
- Zero AI-hardware capex
- Ideal for proof-of-concept
- Graduate to local later
Cloud-capable
Sometimes the right model is only available via API, or your peak workload genuinely doesn't justify hardware. We wire to cloud providers with guardrails — careful data scoping, redaction at the boundary, and a clear path back to local once volume justifies it.
- Anthropic · OpenAI · XAI
- Strict data scoping
- Cost ceilings + alerts
- Migration path to local
Most clients opt for the Hosted Inference option to start with. It is the most practical starting point, and the fastest option to implement and see results.
§ 03 / HOW STRATEGY UNFOLDS
Conversation to
compounding wins.
A single automation runs 2 weeks to 3 months end-to-end depending on complexity. Multiple automations run in parallel.
Listen
A first conversation about the shape of your business — what you do, who does it, where time disappears. Free, no deck, no follow-up sequence.
Audit
A short audit of your tools, data and team rituals. We surface the workflows where AI moves the needle and the ones where it absolutely shouldn’t.
Plan
A written 6–12 month roadmap: starter automation, deployment path, rough costs, and the next two or three plays after that. Yours to keep, hire us or not.
Pilot
We run the prototype against real cases in your environment and walk it through with the people who own the process. Feedback comes back the same day — we want the awkward edge-cases now, not after launch.
Expand
A monthly readout on what changed in the AI world and what it means specifically for your build. We filter the noise so you don’t have to.
Watch
A monthly readout on what changed in the AI world and what it means specifically for your build. We filter the noise so you don’t have to.
§ 04 / INDUSTRY WATCH
We watch the field
so you don’t..
Something significant ships in AI almost every week. Most of it is noise; some of it changes the build. We keep a structured view and translate the signal into action items for your specific roadmap.
Models we track
Anthropic · OpenAI · Qwen · Gemini · Nemotron + many more
Hardware we benchmark
Mac Studio M-series · Nvidia GX · cloud GPUs
Tools we trial
automation frameworks · vector DBs · agent frameworks
What you get
Monthly readout · what to do · what to ignore
§ 05 / FAQ
Questions,
answered.
The honest version. If your question isn’t here,
send it our way — we’ll answer it the same
way.
01 Is this just for businesses that already know they want AI?
Not at all. Most of our strategy clients are pretty sure AI matters and pretty unsure what to do about it. The first call is exactly the right time to talk — no decisions required
02 What does the hosted-inference option actually look like?
You run your own server (we help you spec a modest one) for data, vector databases, automations and any apps. That server connects out to our inference infrastructure for LLM calls only. Nothing else crosses the boundary. Logs, data, and embeddings stay on your side. When usage grows enough that local inference is cheaper, we swap your server for one with a GPU and the same code keeps working.
03 How much does an AI strategy engagement cost?
The initial 30-minute call is free. A written roadmap is typically R5–R15k, depending on depth. From there, the starter automation is its own engagement, usually R5–15k for a single pilot. Hosted inference adds a modest monthly fee that scales with usage; local builds are capex-then-flat.
04 Can we use cloud LLMs if we already have agreements with vendors?
Yes. If you have an enterprise agreement with Anthropic, OpenAI, Azure or anyone else, we can wire your workflows to those endpoints. We'll still suggest local-first where it makes sense, but the choice is yours.
05 How current do you stay with the field?
Internally we evaluate new models and tools every week. Externally you get a monthly readout filtered for your specific build - what changed, what it would cost to act on it, and whether we recommend doing so. No newsletter spam.
§ 04 / VOICES
Bring us a process.
We'll bring the Systm.
A 30-minute call. No deck. We’ll listen, ask sharp questions
and tell you whether what you want is a two-week build
or a six-month build.