One method, four phases, each one removing a reason implementations fail. Click a phase to see what happens and what you hold at the end of it.
We start with your business, not Salesforce. Workshops and process analysis reveal the current state, identify gaps, and define the future architecture before a single decision is made.
Removes the risk of solving the wrong problem.
Architecture and process shaped around the outcome. We design the solution blueprint, the data model and the integration landscape, and pressure-test it against your commercial reality before anything is built.
Removes the risk of an architecture your future outgrows.
Senior build, governed. Configuration and development run in short, reviewed cycles with your team inside the process and quality gates at every sprint. No learning on your budget.
Removes the risk of a build you only see at the end.
Adoption is designed, not hoped for. Training, cutover and hypercare take the platform into daily use, and a structured handover means your team owns what we built.
Removes the risk of a platform nobody uses.
The honest answer: most of those projects were dead before kickoff. MIT found 95% of enterprise AI pilots show no measurable impact, and Gartner expects over 40% of agentic projects to be cancelled by 2027. Not because the technology fails, but because nobody defined what success meant, on data nobody checked. We refuse to start that way: one use case, a success metric agreed in writing before go-live, and no second use case until the first is live and measured. If you want a partner who will build whatever you ask, that is not us.
Yes. AI is only as good as the data it runs on, and pretending otherwise is how projects end up in the 95%. But fixing data does not mean a year of cleansing before anything ships. It means making your data actionable: we define the most valuable use cases together first, then make the data behind them ready to carry real decisions. We have done this work many times, and it is where every Transform engagement starts.
More than the licence, and we will show you exactly how much before you sign. Consumption is where budgets die quietly: Agentforce actions and Data Cloud credits that never appear in the demo. Our total-cost-of-ownership model puts licences, consumption, build and run on one page before signature, and we track actuals against it from day one. We would rather lose the deal than win it with a fantasy number.
Weeks, not quarters, and against a number we committed to before we started, not one we picked afterwards to flatter the result. If payback is not visible within two quarters, the scope was wrong, and we resize it at our initiative. A partner who defends a failing scope is protecting their invoice, not your outcome.
It means the era of quietly deploying AI is over, and that is to your advantage if you build for it now. From 2 August 2026 people must be told when they are interacting with AI, and AI-generated content must be identifiable. High-risk obligations, which include candidate matching in recruitment, follow on 2 December 2027. We design both in from the start: compliance as architecture, not as a retrofit under deadline pressure.
A free scan with a senior consultant will tell you, with no obligation.
