We build the agentic solutions your business actually needs — customized, integrated into your existing systems, operated long term. For mid-market and enterprise.
Agents work inside your cloud, your identities, your data boundaries. What goes in stays in. What comes out is traceable.
Deployed in your cloud (Azure, AWS, GCP) or on-premises. SSO, RBAC, VPN, private endpoints — your security architecture stays as it is.
Data only leaves your perimeter when you allow it. Clear allow-lists, EU region enforceable, full lineage from prompt to answer.
Your content is not used to train foreign models. No prompt or output logging on the model provider's side — contractually guaranteed.
Microsoft, Salesforce, Google, ServiceNow, SAP, Oracle — the major platforms ship agents in click-config. That isn't a trend anymore, it's infrastructure.
The moment the requirement touches the reality of your business — heterogeneous legacy systems, industry-specific logic, multi-site rollouts, real integration into operational processes, multi-year operation with SLAs — it gets hard. That gap is the norm in mid-market and enterprise, not the exception.
Anyone can buy standard agents. Almost no one can build customized agents. That's exactly where the market opens up — and where we deliver.
Terminology in the market is blurry. We build levels three and four — self-directed, proactive, within a defined frame.
An AI model behind an input field. Human asks, AI answers. Example: ChatGPT.
AI feature inside an application. Suggests, assists, accelerates. Example: Microsoft Copilot in Word.
A system that pursues its own goal. Plans multi-step tasks, uses tools, acts unprompted within defined limits.
Several agents work together. Orchestration, specialisation, handover between agents.
Capability before efficiency. First do the work that gets left undone — then speed up the work people do today.
The more important promise. Tasks that simply don't happen in today's staffing and process reality — not because they're unimportant, but because capacity doesn't reach.
Tasks that run manually today — taken over faster, more consistently, around the clock.
Concrete domains. Each with an example and proof point.
360° customer profiles from heterogeneous sources. Proactive action recommendations for sales and service. Task orchestration across teams.
Content planning, 24/7 monitoring with escalation logic, performance-driven optimisation across many locations. Same experience in the room, fundamentally different operating model.
Signal-driven sales execution. Lead prioritisation, contact reasons, next best action — built into the salesperson's CRM day.
Triage, classification, solution suggestions, escalation logic. Integrated into existing ticketing systems, with audit trail and human-in-the-loop.
Multi-step processes across system boundaries. Pull data, validate, decide, hand off — with guardrails and logs.
Scope and investment vary widely with the use case. We work that out in the intro call.
Architecture sketch, use-case prioritisation, baseline assessment of your data. Outputs are decision material, not a sales doc.
Customized implementation, integration into your existing systems (ERP, CRM, DMS), testing in a production-like environment. With guardrails and evals from day one.
Go-live with monitoring, guardrails, audit trails and SLAs. Run by our team — not thrown back over the fence to the client.
Continuous improvement against eval metrics. New agents in the same framework, scale across locations and domains.
One named anchor case, several anonymous ones. Details in the intro call.
KAITUM AI in production: sales advisors get proactive signals on which customer to approach, when and with what reason.
Content-Planung, 24/7-Monitoring und performance-getriebene Optimierung von Display-Netzwerken — als agentischer Workflow statt manueller Routine.
Eingehende Schadenmeldungen werden agentisch klassifiziert, geprüft und priorisiert — mit Audit-Trail und klarer Mensch-im-Spiel-Logik.
Mehrschritt-Prozesse über sechs Bestandssysteme — agentisch orchestriert, mit Guardrails und Audit-Trail an jeder Übergabe.
We don't lock you into one vendor. We pick the model, platform and integration path that fit the use case — and deliver both: innovation and enterprise maturity.
OpenAI, Anthropic, Azure AI, AWS Bedrock, local LLMs. Salesforce and Microsoft stack integration where it makes sense. We pick the model per use case, not per brand allegiance.
ISO 27001 certified since 2018. GDPR-compliant, data residency in the EU, full audit trails. Eval frameworks and guardrails from day one.
SAP, Salesforce, proprietary ERP/DMS, legacy systems without vendor support. 17 years of experience with heterogeneous landscapes.
20+ entries on agentic AI, multi-agent systems, RAG, MCP, guardrails, governance — as a connected cluster, not a glossary.
To the Agentics cluster in the Insights Hub →30-minute intro call. Outcome: an honest read on whether and where customized agents make sense for you. No reflex sales path.