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You've been trying to fix this with prompts. It won't work.
Claude, like every language model, is probabilistic. Point it at enterprise data and it guesses at your ARR definition, your customer segments, and your business rules, and the answer looks right until someone acts on it. Prompting around the problem doesn't fix it; the fix has to happen at the architecture level.
Strategy Mosaic is that fix. Its SQL engine is deterministic, so the same question produces the same governed query and the same answer for every user and every Claude model. When agents run thousands of queries a day, that consistency is what makes the whole system trustworthy.
Deterministic means testable: same question, same query, same answer, for every user and every model.
HOW IT WORKS
Claude handles the question. Mosaic handles the query.
The architecture is what makes the pairing reliable, and it runs over MCP, the open protocol Anthropic created for connecting AI applications to enterprise systems.
01
Claude reads the question and handles the reasoning
A user asks in plain English: “What was our Q1 ARR by region?” Claude understands the intent, manages the multi-step reasoning, and formats the final answer. Mosaic handles the rest.
02
Mosaic translates it into a governed SQL query
Instead of guessing your schema, Mosaic's deterministic SQL engine takes Claude's intent and generates a precise query built on your pre-defined business logic. Same question, same query, every time, regardless of which model or user is asking.
03
Your data stays exactly where it is
The query runs against your existing warehouse or data lake. No migration, no consolidation program, no lock-in to a single platform.
One connection serves every Claude surface your teams use.
Lower cost at scale
Two ways in, one connection
The Strategy MCP server in Library gives Claude two complementary paths into your data, and both inherit the same governance.
Mosaic for Autonomous Agents
As enterprises move to fully autonomous agents, governance matters. Determinism matters more when nobody is watching. Mosaic gives autonomous agents the same governed, repeatable, and traceable access to data without a human in the loop, making it a core safety system, not an afterthought.
Because Mosaic sits above your LLM, warehouse, and connectors, it fits into any stack without changes to your existing architecture. Governed access travels with the agents regardless of which model or orchestration layer is running.
Mosaic is the critical infrastructure that defines what an agent can see, what it can query, and, critically, what it cannot access. Enforced at every call, with a full audit trail.
SECURITY AND GOVERNANCE
Governance that travels with the question.
Authenticated access
Connections run through Strategy Library and respect each user's existing permissions. People see only the data they are entitled to see.
One set of definitions
Metrics, hierarchies, and business rules are defined once in Mosaic and enforced on every query, in every tool.
Full visibility
Strategy Mosaic includes Mosaic Sentinel, a governance layer that monitors risk, audit, and usage, including AI-driven access.
Traceable answers
Every result maps back to governed objects and lineage, not to a black box.
GETTING STARTED
Live in three steps.
Enable the MCP server
Turn on the MCP server in Strategy Library admin settings. Minutes, not a migration.
Add the connector in Claude
Point Claude at your Strategy MCP endpoint from any supported surface.
Ask your first question
Start with an AI Agent your team already uses, or go straight into a Mosaic model.
How does Strategy Mosaic prevent Claude from hallucinating?
Claude never generates SQL and never touches the database. Mosaic's deterministic engine translates the question into a governed query built on your pre-defined business logic, so the same question always produces the same query and the same answer.
Can Claude securely access our enterprise data?
Yes. Claude connects through Strategy's MCP server with authenticated access via Strategy Library. Users only see data their existing permissions allow, and the semantic layer enforces governance on every query.
What is the difference between an AI Agent and querying Mosaic directly?
Direct Mosaic access lets Claude query the semantic layer itself, which suits exploration and ad hoc analysis. Strategy AI Agents add packaged domain expertise: business instructions, key driver analysis, and curated context for repeatable workflows. Both run over the same MCP connection.
Do we need to move or copy our data?
No. Queries run against your existing warehouse or data lake, and Mosaic resolves them against governed definitions in place across 200+ sources. Nothing is replicated into the AI tool.
Is our data used to train the model?
No. Query results are returned to the Claude conversation under your organization's Claude agreement, and Anthropic's commercial terms exclude customer data from model training. On the Strategy side, access is permission-enforced and fully audited.
Which Claude products are compatible with Strategy Mosaic over MCP?
Any MCP-compatible Claude surface works: claude.ai, Claude Desktop, Claude Code, and applications built on the Claude API.
Does this only work with Claude?
No. Strategy's MCP support is built on an open standard, so the same connection works with any MCP-compatible client. Define your business logic once in Mosaic and it travels with you when models, warehouses, or clouds change.
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