We turn enterprises agent-native.

Thorit is an AI and CRM consultancy for enterprise B2B: we build the CRM and data foundation, engineer the custom software on top of it, and put agents into the processes that matter. The sequence is the point. Agents only work when the processes, data and systems underneath them are clean.

Five: CRM implementation and optimisation as a HubSpot Diamond Partner, AI-assisted software engineering for platforms and portals, AI strategy and advisory, agentic AI from use case to production, and data architecture and integration.

The Agentic Growth Stack is our build in four phases: Plan, Build, Operate, Automate. Plan sets the target picture and the roadmap, Build builds the platform and the data flows, Operate embeds operations and adoption, Automate hands recurring work to agents. Each phase ends in something usable.

HubSpot is our home turf, and we are a Diamond Partner. It is not the whole job. The custom software above it and the integration of core systems such as ERP, CPQ, PIM or DAM are platform-independent.

We build. Alongside strategy and architecture our teams engineer platforms, portals and products on a modern web stack, with AI in the loop across the cycle, from architecture and code to review, tests and documentation.

Nine: construction and building materials, manufacturing, healthcare, consumer goods and retail, professional services, media and telecommunications, automotive and mobility, financial services and insurance, and aerospace and defence. References include ZEISS, ArcelorMittal, Ricoh and Dovista.

With a workshop in which we establish where you stand and sharpen the target picture. It produces a prioritised roadmap, not a concept paper, but the order in which things get built.

No. If the target picture and the architecture are already in place, you can start straight with Build. If they are missing, Plan supplies them, otherwise you build on assumptions.

It depends on the scope of the phase, not on a standard duration. Because our teams work with AI in the loop, platforms go live in weeks rather than quarters; the roadmap from the workshop names the dates for your case.

The price depends on the phase and the scope and is fixed after the workshop. We name it once it is clear what gets built. A number without a target picture would be guesswork.

Our teams sit in Böblingen near Stuttgart and in our innovation hub in Lisbon, with a small team in Aarhus. We work for companies across DACH and the Nordics.

Operate takes over: operations, adoption and security are embedded in everyday work, so the platform is carried by the team after the rollout. That is where most projects fail, not at the technology, but at the missing operator.

An AI agent runs a process end to end instead of only producing text: it reads the request, pulls data from the connected systems, produces the result and hands it to a human for approval.

Because buying tools is not the same as changing how the work runs. Without a CRM and data foundation, without interfaces for the roles that actually do the work, and without someone owning operations, a tool sits beside the process instead of in it.

NATIVE is our framework for the six dimensions that decide whether agentic AI sticks: North Star, Architecture, Talent and Teams, Integrity, Value Tracking, and Execution and Scale. Overall maturity equals the weakest dimension, not the average.

Yes. Thorit is the first reference implementation of its own framework. We do not sell anything we have not run on ourselves.

Through approvals and observability: agents work to clear rules inside the CRM, their steps are traceable, and the last step sits with a human. A system nobody can follow is a system nobody uses.

Against a value case that keeps being checked after go-live. Value Tracking is one of the six NATIVE dimensions. A business case nobody looks at again after the project is the most common reason the promised return never arrives.