CRM-native AI
Agentforce and Breeze demo beautifully and die in the pilot. The reason isn't the model — it's the missing layer underneath it.
Build + Transfer — you own it
AI knowing your business.
Everyone rents the same model. We forge the context that makes it yours — and hand you the keys.
One ladder — context, skills, data, agents — climbed one rung at a time. Each step is a concrete system your team owns.
One ladder, climbed one rung at a time.You own every rung you build.
01Context FoundationYour knowledge, AI-ready.02Agentic SkillsReusable know-how.03Data WarehouseTrusted data for humans and AI.04Agentic SystemsAgents that advise and automate.
Start on Rung 1. Stop on any rung with a system you own.
The gap
Six months of AI conversations. A competitor shipped something. Your team still runs on spreadsheets.
The gap isn't ambition. It's that nobody has made your company machine-usable and built one real thing on top of it. Your CRM can't reason about how your business actually works — and bolt-on AI features just centralise the chaos.
What we build
One ladder, climbed one rung at a time.
Start with a Context Foundation you own in 1–2 weeks, then climb one paid rung at a time. The land is cheap and yours to keep — stop on any rung with a working system you own.
01
Context
Your revenue org made machine-usable: stage criteria, routing, ICP, definitions — plus a one-time conflict audit. Owned in 1–2 weeks
02
Skills
Procedural know-how packaged as reusable agentic skills, grounded in your context — days, not projects.
03
Data
Operational knowledge pulled out of silos into one trusted pipeline; connects CRM, MAP, product analytics.
04
Agents
Bounded agents that watch the pipeline with you and recommend the next action — observable, evaluated, repeatable.
The difference
We build the system. You run the business.
Every engagement ends in a documented artifact your team owns — repo, documentation, evals, training. No consultant dependency, no black box you can't open.
- You keep everythingCode, definitions, and the agent framework transfer to your team at the end of each rung.
- One honest exceptionWhere you have no one to run it, we can keep the AI layer alive for you — never your go-to-market.
Why not CRM-native AI
Bolt-on AI reasons in a generic context. This layer reasons in yours.
CRM-native AI features
- Reasons in a generic, vendor-defined context.
- Centralises the chaos instead of resolving it.
- A feature you rent — switched off when you leave.
The layer we build
- Grounded in your stage criteria, routing and definitions.
- Resolves contradictions with a one-time conflict audit.
- A system you own — documented and transferred to your team.
Compliance-aware by defaultEU AI Act considered in the architectureDSGVO-aligned by design, not bolted on after
Who it's for
Choose your path.
Founder / CEO
I want one concrete, owned win.
More output without more headcount. Someone who builds one real thing and hands it over — not another strategy deck.
For foundersVP / Head of RevOps
My AI experiments stalled.
A layer that reasons in your context, not generic RevOps — so you can show the CRO an owned artifact in week two.
For RevOps leadersCRO
The board wants AI in the number.
A cheap two-week proof step that de-risks the six-figure build — a forecast resting on agreed definitions, not a black box.
For CROsFrom the insights
Read all insightsWe publish the thinking, never the recipes.
AI compliance · DACH
GPAI obligations land first. What founders and RevOps actually need to do before August 2026 enforcement — and what's noise.
The context layer
Before an agent can act, your definitions have to be legible to a machine. What "an SQL" actually means here — and the four-layer model that makes it explicit.
Land light, learn fast
Book a call.
We'll tell you the smallest first thing worth building — and what it costs.