AI consulting in Berlin: scope one context-layer project
AI consulting in Berlin starts with one workflow your team needs to improve. If an assistant reads conflicting information from chat, tickets, wiki or CRM, I help define the context layer it needs: current facts, permitted readers, authorized actions and a named operating owner. Workshops can be on-site in Berlin and Brandenburg or remote.
Bring one decision to the first conversation
- The decision: what should a colleague be able to decide or do with the answer?
- The evidence: which two systems disagree, and who owns the authoritative record?
- The boundary: who may read the answer, and who may approve a change to another system?
- The acceptance check: one current answer, one restricted reader and one action that must wait for authorization.
For example, bring an anonymized support ticket whose status differs from the CRM record. Agree which source wins, who can see it, and what the assistant may propose. A stable handoff between two systems may only need an ordinary integration.
Inspect the client context-layer case study, then compare the assessment and implementation scope. The free call establishes fit; a separately commissioned assessment supplies acceptance criteria and an effort estimate before you decide on a build.
Discuss this brief in a free 30-minute call. Use anonymized examples; agree access before sharing live records.
Services
- Production-readiness audit: what stands between your AI pilot and go-live, prioritized by risk. See the production audit
- Delivery billed by the hour: scope with hour estimates and acceptance criteria within 24 hours, integrated with your system landscape (SAP, Microsoft 365, CRM). Make your AI pilot production-ready
- Context layer for AI agents: a temporal knowledge graph over chat, tickets, wiki and CRM, on your own tenant. Knowledge graph consulting
- Operations: monitoring, approvals, error handling, rollback, and clear ownership.
On-site or remote
Workshops, requirements sessions, and alignment with business and IT teams happen in person in Berlin and Brandenburg whenever useful. Delivery and operations run remote, with short paths: you reach me directly, not a project office.
For companies elsewhere in the EU I work fully remote, including EU data residency where it is required.
Results from projects
- Operational context layer with human-approved actions across chat, tickets, wiki and CRM: own EU tenant, zero writes without a human tap
- Independent local PII-redaction experiment: evaluation on 16 held-out documents, not a commissioned production deployment
- Self-hosted voice AI platform for teams with data residency requirements
- AI revenue prioritization directly in HubSpot CRM
All projects: see the case studies
How to start
We start with a free 30-minute call. You describe where your AI initiative stands. I tell you the sensible next step and whether an on-site session makes sense.