Building on Claude
Production-grade Claude integrations for regulated enterprise environments. Secure prompt pipelines, Model Context Protocol servers, RAG systems, and AI-assisted engineering at scale.
Why we invest in Claude
Claude gives us the reasoning quality, long-context handling, and tool-use discipline we need to ship into core banking, GovTech, and enterprise data platforms. Where our clients require auditable behavior, strict data controls, and deterministic tooling, Claude and the Claude API have become our default foundation.
What we build with Claude
MCP servers for enterprise systems
We implement Model Context Protocol servers that expose controlled tool surfaces over core banking, DWH, document stores, and ticketing systems — with authentication, row-level permissions, and full audit logging.
RAG on proprietary documentation
Hybrid retrieval (BM25 + vector) over internal knowledge, grounded Claude responses, and explicit citations. Zero-data-retention patterns on the inference plane; all embeddings remain inside the customer tenant.
Tool-using agents and workflows
Claude agents orchestrated through Camunda BPM for approval-driven enterprise processes — long-running, observable, and recoverable. Every tool call is logged with input/output and a correlation ID.
Claude Code & Cursor for engineering teams
We introduce Claude Code and Cursor into engineering workflows: code analysis, architectural reviews, migration planning, test generation. Rollout includes prompt libraries, guardrails, and secure-usage training.
Text-to-SQL & BI assistants
Claude-backed natural-language interfaces to Greenplum, PostgreSQL, and Oracle warehouses — with schema restrictions, query whitelisting, and deterministic fallbacks for numbers that must reconcile.
Support & knowledge assistants
Internal assistants grounded in company documentation, policies, and past tickets. Escalation paths, confidence thresholds, and human hand-off are built in from day one.
A typical Claude integration
Our reference architecture separates the reasoning layer (Claude API) from the data layer (MCP tools, RAG index) and the workflow layer (Camunda / agents). Every call passes through an audit proxy that redacts PII, records tool inputs and outputs, and enforces rate and cost limits. Secrets stay in corporate KMS; no API keys live on client devices.
Code pattern
A minimal secure wrapper around the Claude API used as a starting point in our projects:
// audit-proxy.ts
import Anthropic from '@anthropic-ai/sdk';
export async function askClaude(input: {
tenantId: string;
userId: string;
prompt: string;
tools: ToolSpec[];
}) {
const correlationId = crypto.randomUUID();
const sanitized = redactPii(input.prompt);
const allowedTools = enforceAllowlist(input.tenantId, input.tools);
await audit.record({ correlationId, ...input, sanitized });
const client = new Anthropic({ apiKey: secrets.anthropicKey });
const response = await client.messages.create({
model: 'claude-opus-4-7',
max_tokens: 1024,
tools: allowedTools,
messages: [{ role: 'user', content: sanitized }],
});
await audit.recordResponse(correlationId, response);
return response;
}Safety and controls we ship by default
- Input sanitization and PII redaction before prompts reach Claude
- Tool-use allowlists — Claude cannot call what the contract doesn't allow
- Per-tenant prompt and completion logging with retention policy
- Cost and rate guards at the gateway layer
- Fallback and degradation modes when the API is unavailable
- Human-in-the-loop checkpoints for irreversible actions
Team ramp-up on the Anthropic platform
Our engineers work through Anthropic Academy courses under corporate accounts on geekpartnerslab.kz. Internal reading groups cover MCP, prompt engineering, tool use, and the latest Claude model releases. We maintain a shared prompt library versioned alongside application code.
View Anthropic Academy certificationsWant to evaluate Claude for a specific workflow?
We run short focused engagements (Claude Adoption Workshop, MCP Integration Sprint, Secure RAG Deployment) that produce a working prototype and a production plan — not a slide deck.