Your Conversation Reality
Support • Sales • Ops • Internal Helpdesk
Conversational Systems Trusted in Real Operations
Grounded answers + safe automation.
Reusable RAG + guardrail patterns.
Quality, safety, and drift in production.
Own prompts, pipelines, and serving.
Conversational AI fails when it’s prompt-only, ungrounded, and unmeasured. We build systems with RAG grounding, tool integration, and evaluation + monitoring—so quality stays stable after launch.
What most “build teams” ship:
No citations, no grounding—hallucinations become product behavior.
The assistant can talk, but can’t act inside real workflows.
PII leakage, policy gaps, and no way to measure quality regression.
Production-grade conversational systems:
Indexing, chunking, retrieval tuning, and citations for answer integrity.
Connect the agent to systems (CRM/ERP/support) with controlled permissions.
Policy filters, PII controls, test suites, and production telemetry.
Fewer Hallucinations. More Operable Conversations.
Moving from Chats to Outcomes.
Customer support, internal IT/helpdesk, HR policy assistants—grounded and measurable.
Indexing, retrieval tuning, citations, and freshness so answers remain trustworthy.
Voice workflows for contact centers: intent routing, summaries, and compliant transcripts.
Agents that can act: ticketing, CRM updates, order status, scheduling, approvals.
Test suites, quality scoring, regression detection, and production monitoring for Day 2.
PII redaction, policy guardrails, access control, and enterprise compliance patterns.
We engineer the full loop: ingest → ground → reason → act → evaluate → monitor → improve.
Answer Integrity
Indexing, chunking, retrieval tuning, citations, and freshness to reduce hallucinations and improve trust.
Workflow Impact
Controlled tool calling to ticketing, CRM, and internal systems—so the assistant can do real work safely.
Safety
PII controls, policy filtering, safe completions, and jailbreak resistance—aligned to enterprise compliance.
Day 2 Ops
Automated evals, quality scoring, latency tracking, and regression alerts so performance doesn’t drift silently.
We deploy the Coretus Conversation Kernel™—a pre-hardened foundation for RAG grounding, tool calling, safety policies, evals, and monitoring.
Your teams focus on workflow impact and adoption, not rebuilding the stack.
Support • Sales • Ops • Internal Helpdesk
Integrated delivery units specialized in RAG, tool calling, and guardrails + evals—so you ship reliably, not repeatedly rework.
Designs agent behavior, UX flows, escalation, and quality standards across channels.
Builds RAG pipelines: indexing, retrieval tuning, freshness, and citation integrity.
Squads arrive with RAG patterns, tool interfaces, policy controls, and regression tests—built-in from day one.
Guardrails, access controls, PII redaction, and policy enforcement for enterprise compliance.
Evaluation harnesses, monitoring, latency budgets, and regression alerts for stable operations.
Conversational systems are a loop: ingest, ground, reason + act, and monitor—built to survive operational change.
Document pipelines, chunking, metadata, and indexing for retrieval.
Retriever tuning, citations, freshness, and ranking for answer integrity.
Tool calling, workflow actions, approvals, and safe execution patterns.
Evals, observability, latency budgets, and regression alerts in production.
A phased model that prevents brittle assistants: grounding, integration, evaluation, then scale.
Define intents, workflows, policy constraints, and success metrics.
Build knowledge pipelines, retrieval tuning, citations, and baseline eval suites.
Connect systems, add permissions, approvals, and audit trails for safe actions.
Monitoring, regression alerts, iterative improvements, and channel expansion.
Customers received inconsistent answers due to ungrounded bot replies and stale documentation.
Shipped citation-grounded RAG, escalation, and production monitoring.
"The assistant stopped guessing. Citations made answers trustworthy and escalations felt seamless."
Teams lost time due to manual triage and fragmented tools.
Deployed permissioned tool calling with approvals, audit trails, and evals.
"It didn’t just answer—it executed safely. Approvals and audit logs made it enterprise-ready."
Choose the engagement aligned with agent complexity, governance needs, and operational ownership.
Embedded team specialized in RAG, workflow tool calling, guardrails, evals, and monitoring.
Define agent roadmap, governance, evaluation standards, and enterprise deployment patterns.
We incubate your assistant platform, operate it in production, then transfer ownership to your teams.
Your dedicated conversational AI delivery center for continuous improvement and multi-channel rollouts.
Assistants must balance speed with safety. We embed governance, evaluation, and monitoring so conversations are reliable in production.
Golden test suites and safety checks before changes ship.
Role-based access, PII redaction, and protected data pathways.
Decision logs, tool invocation tracing, and runtime telemetry.
Traceable Actions
Policy + PII
Review Gates
Quality Alerts
A 100-second breakdown of RAG grounding, tool calling, guardrails, and evals.
Citations + freshness.
Actions + audit trails.
Policy + evals.
Yes. We design indexing + retrieval with citations and freshness so answers remain trustworthy.
Yes. Permissioned tool calling, approvals, and audit trails are built into the execution layer.
PII controls, policy filters, RBAC, and evaluation harnesses are part of the production baseline.
Yes. Voice workflows for routing, summaries, and compliant transcripts can be added as channels.
Golden test suites, rubric scoring, regression detection, and production telemetry for Day 2 stability.
We can deliver a 48-hour feasibility audit for your highest-impact assistant or agent workflow.
Request Conversation BriefingStop shipping prompt-only bots. We engineer production conversational AI—RAG knowledge assistants, voice agents, and workflow-integrated tool calling—with guardrails, evaluation, and monitoring for measurable outcomes and 100% IP sovereignty.
RAG + Tool-Calling Agents
Guardrails + Evals
100% Data & Model Ownership