The problem
Everyone is building something with AI. What's missing is central control.
Prompts are not processesA prompt gives one answer today and another tomorrow. Internal audit and compliance cannot verify that.
Every team builds on its ownTheir own uploads, their own prompts, their own folders. No central permissions, no shared log.
Long chains lose qualityAt 95% accuracy per step, about 60% is left after ten steps. Agents solve 58% of single tasks, but only 35% of multi-step workflows.Sources: Lusser's law; Salesforce AI Research, CRMArena-Pro (2025)
Agents with a master keyMany agents run with their user's permissions, so they see everything that user sees. Afterwards, it is hard to trace who was allowed to see what.
MCP server
One query, not whole documents.
Your assistant asks a question, clearlea.se answers with the verified value, its history and the source. No uploads, no context window full of PDFs, no guessing about missing amendments.
Works with your assistantsCopilot, ChatGPT, Claude, automations such as n8n and any client that supports MCP.
Saves time and tokensOne call with about 2,000 tokens instead of 120,000 for five leases. Example calculation.
Access controlled centrallyYou decide in one place which AI may see what, just as for people and automations.
Answers you can verifyEvery value with its source, down to the clause. Your AI cites instead of guessing.
| In-house build with prompting | Agents only | Your AI with clearlea.se | |
|---|---|---|---|
| Current valid state across all amendments | Only what was uploaded | Depends on the agent | Always, with history |
| Source down to the clause | Rarely reliable | Partly | For every value |
| Same question, same answer | No | No | Yes, from verified data |
| Specialist approval and audit trail | Build it yourself | Logs, little control | Built in, 9 guarantees |
| Cost per answer | High: whole documents in context | High and variable | Low: one query |
| Central permission control | Scattered across tools | Per agent | In one place |
| Runs in Germany or on your premises | Depends on the provider | Depends on the provider | Yes, up to air-gapped |
Agents under supervision
Agents, yes. But within fixed rules.
In clearlea.se, AI steps work inside workflows. Every step has a named owner, and thresholds decide when a human approves. The rules live in code, not in the prompt.
What the AI may do
- Read and classify documents, propose values
- Flag deviations and explain them
- Prepare drafts, such as letters or objections
- Adopt values above your QA threshold
What the AI may never do
- Act without permission
- Override rules or thresholds
- Change closed cases
- Run an action twice
Your own agentsComing soonToday your agents connect via MCP and work with the current valid state. Soon agents will also own steps in workflows, with the same guarantees as any other owner.
Governance
One place for permissions, logs and approvals.
Instead of a sprawl of one-off tools: data sources, permissions and workflows managed centrally. That makes AI usable even where auditors look closely.
Separate permissions for every agentEvery workflow step and every agent gets its own permissions. No agent runs with a user's permissions.
Audit trail for everythingEvery action by users, AI and systems: who, when, why.
Versioned workflowsNew versions go live only after review, testing and approval.
QA index, not gut feelingEvery new value comes with a quality signal. Uncertain values get flagged, not overwritten.
Sovereignty
Your AI strategy, your infrastructure.
AI processing in GermanyData and inference stay in Germany. No training on your data.
Your own language modelBring your own model, or run the AI on GPU servers in Germany. That way it works without any US provider at all, if the CLOUD Act is a concern for you.
Your own keysEncryption with your keys, connected to your Key Vault or secret store. Not even we have access.
Monitoring in your ITLogs and telemetry via OpenTelemetry to your SIEM or monitoring. Sign-in via SSO.
From managed cloud to air-gappedDedicated instance, private cloud, on-premises or fully isolated. The models then run in your environment.
Installed in hoursProven deployment scripts, for example for Azure or Hetzner. Depending on approvals in your IT, it takes hours to a few days.
- We already have Copilot. Why clearlea.se?
- Copilot reads what you give it. clearlea.se gives it the verified state across all documents, with sources. Together they are faster, cheaper and reliable.
- Does clearlea.se replace our prompt engineering?
- No. Your teams keep building, just on a reliable source and with workflows that stand up to internal audit and compliance.
- What data does the assistant see?
- Only what you release. You control access centrally, for every user, every step and every agent.
- How quickly can we get started?
- There are proven deployment scripts for your environment, for example for Azure or Hetzner. Installation takes hours to a few days, depending on approvals in your IT. The MCP server is part of the platform.
