Every large organisation has one by now: the AI pilot that impressed everyone and then went nowhere. It worked beautifully on exported data. Then it met the security review, the data-access request, the approval workflow, and the question of who actually operates it, and quietly became a slide in the innovation update. The gap between a demo and a production system is where most enterprise AI budgets go to die.
Enterprise AI implementation that gets past the pilot
The gap is rarely the model. It is access, governance, and rollout, and that is precisely what Specialty Tokens builds. We are a forward-deployed AI engineering firm in Vienna, working across DACH, the rest of Europe, the UK, and the US, and our engagements start where pilots usually end: inside the core systems.
Real work lives in the systems of record, ERP, CRM, and the accounting core, whether that is Navision, weclapp, Exact, or Salesforce. We connect them to your approved AI tools through one integration layer built on the Model Context Protocol (MCP). Through our Supercenter platform that layer comes with 2,000+ integrations out of the box; where you need something bespoke, we build it.
Governance is designed in, not bolted on. The operating pattern is read freely, write behind approval: AI can query anything it is permitted to see, but every write that touches money, customers, or the books waits for a human yes and lands in an audit log. Your security, compliance, and audit stakeholders help shape those gates from the first week, which is how the system passes review instead of dying in it.
Then comes the part most implementations skip: rollout. We embed with the teams who do the work, ship one load-bearing process into production first, typically in weeks, and widen from there, training operators as each process lands. Adoption is not a change-management campaign after the fact; it is how the build happens.
We have shipped this pattern for Talentir, wiring accounting and rights-management systems into one process, and for GasLab, where AI-driven generation runs against a rights-attribution backbone. Different domains, same discipline: core systems, approval gates, handover.
At the end, your team owns the layer, connectors, agents, documentation, and the skills to extend them. No per-seat fees, no vendor lock-in. The pilot phase ends the day production begins.
