SERVICENOW · AI & PLATFORM · EUROPE
ServiceNow that people actually use.
TechNow Partners builds and fixes ServiceNow platforms from Brussels
ITSM, ITOM, CSM, SecOps and SPM, plus the AI layer on top once the platform is ready to carry it.
You will speak to a certified consultant,
not a salesperson.
SAMPLE SUBTITLE
The AI work we actually do
Generative summarisation, agent assist and Virtual Agent — scoped to where your knowledge base can actually support it.
Custom agents built against your processes rather than a demo script, with the tools and data each one may reach defined up front.
Coordinating several agents across departments, once a single agent has proven itself in production.
Governance and oversight: who approved an agent, what it may touch, and how you evidence that to an auditor.
The semantic layer agents reason over. Its quality is inherited directly from your CMDB and knowledge base.
Connecting external AI agents to the platform without routing around its controls.
Named products, not “AI-powered solutions”. Each one depends on something underneath it, and we will tell you which of those you already have.
Four things decide
whether ServiceNow
AI works for you
They fail on the four things underneath it. An agent that cannot see what depends on what, summarising articles nobody has updated since 2021, fulfilling requests that were never modelled, that is not an AI problem. We look at all four before anyone talks about licensing.
The 30-day
Platform Review
One month, a fixed scope, and a written verdict you keep whether or not you continue with us.
Update sets, custom tables, integration logs, CMDB health, catalogue usage, knowledge-base freshness. Documentation says what was intended; the instance says what happened.
Scope, sequence, duration, price. Specific enough to execute with us or without us. If the honest answer is that your platform is not ready for agents this year, that is what it will say.
Four places ServiceNow
rollouts go wrong
They fail on the four things underneath it. An agent that cannot see what depends on what, summarising articles nobody has updated since 2021, fulfilling requests that were never modelled, that is not an AI problem. We look at all four before anyone talks about licensing.
The AI work we
actually do
WHAT WE IMPLEMENT, AND WHAT EACH ONE DEPENDS ON
Now Assist
Generative summarisation, agent assist and Virtual Agent — scoped to where your knowledge base can actually support it.
AI Agent Studio
Custom agents built against your processes rather than a demo script, with the tools and data each one may reach defined up front.
AI Agent Orchestrator
Coordinating several agents across departments, once a single agent has proven itself in production.
AI Control Tower
Governance and oversight: who approved an agent, what it may touch, and how you evidence that to an auditor.
Knowledge Graph
The semantic layer agents reason over. Its quality is inherited directly from your CMDB and knowledge base.
Action Fabric / MCP
Connecting external AI agents to the platform without routing around its controls.
Most AI pilots don’t
fail on the model
They fail on the four things underneath it. An agent that cannot see what depends on what, summarising articles nobody has updated since 2021, fulfilling requests that were never modelled, that is not an AI problem. We look at all four before anyone talks about licensing.
- vendy Services
Healthy indoor air ventilation start’s with AAE!
We believe that the surest measure longer than single vendy ventilation cooling system.
[01]
AAE whole house ventilation
[02]
AAE mitigation radon
[03]
AAE commercial ventilation
[04]
AAE garage ventilation
Featured Reviews
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