LLM Integrations & Copilots
Embed chat, summarization, drafting, and assistant flows in your apps with role-based controls and usage caps.
LLMs • RAG • Copilots • Guardrails
AI Implementations
From LLM integrations and Retrieval-Augmented Generation to copilots and automation — delivered with strong guardrails, rigorous evaluation, and production monitoring.
- Copilots for support, sales, and internal ops with role-based controls
- RAG pipelines: chunking/embeddings, hybrid search, citation-first prompts
- Guardrails: PII redaction, policy enforcement, cost caps, safety checks
- Evaluation & monitoring: test suites, telemetry, feedback loops
Eval Suites
Observability
PII Controls
Cost Guardrails
What We Build
LLM integrations, Retrieval-Augmented Generation, and copilots tailored to your workflows.
Retrieval-Augmented Generation (RAG)
Chunking/embedding, hybrid search, citation-first prompts, and freshness via scheduled re-index tasks.
Process Automation & Data Pipelines
Event-driven automations, ETL/ELT pipelines, vector sync jobs, and guardrailed tool use (functions/actions).
Guardrails, Evaluation & Monitoring
Ship responsibly with controls and measurable quality.
Guardrails
- PII redaction, consent checks, and data residency.
- Prompt hardening, allow/deny lists, jailbreak filters.
- Cost and latency budgets with circuit breakers.
Evaluation
- Offline evals with golden sets; task‑specific metrics.
- Human‑in‑the‑loop sampling and rubric scoring.
- Regression gates in CI before rollout.
Monitoring
- Prompt/version tracking, drift and anomaly alerts.
- Feedback capture, dashboards, and audit logs.
- Rollback strategies and safe deploy rings.
Selected Work
A pragmatic AI rollout with measurable results.
Customer Support Copilot
Deployed a RAG‑powered copilot that drafts replies with citations from policies and past tickets. Integrated cost guardrails and agent feedback loops.
- 30–40% faster first responses, higher consistency.
- Real‑time eval dashboard and safe rollback.
FAQs
If you have more questions, contact us.
Which models and vendors do you support?
OpenAI, Anthropic, Google, open‑source (via vLLM/Ollama), and vendor‑agnostic abstractions to avoid lock‑in.
How do you handle private data?
PII scrubbing, encryption at rest/in transit, isolated stores, and region‑specific routing when required.
Do you offer pilots?
Yes—2–4 week scoped pilots with baseline evals, KPIs, and a go/no‑go at the end.
Can you integrate with our existing data stack?
We work with warehouses (Snowflake/BigQuery/Postgres), vector DBs, event buses, and observability stacks.
Ready to Ship AI Safely?
Start with a pilot that proves value—and builds your internal confidence.