Conversational AI for
Grounded Conversations.

Move beyond “chat demos.” We engineer production conversational systems—RAG knowledge assistants, tool-calling agents, and voice workflows—built with guardrails, evaluation, and observability so they stay reliable on Day 2.

Request Scoping

RAG + Assistants

Tool Calling + Actions

Guardrails + Evals

Conversational Systems Trusted in Real Operations

25-45%
Ticket Deflection

Grounded answers + safe automation.

2-5wk
Time-to-First Assistant

Reusable RAG + guardrail patterns.

24/7
Monitoring + Evals

Quality, safety, and drift in production.

$0.
Vendor Lock-In

Own prompts, pipelines, and serving.

Beyond the Chat Demo.
Grounded, Safe, Operable.

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.

The Chatbot Failure Pattern

What most “build teams” ship:

  • Prompt-Only Answers

    No citations, no grounding—hallucinations become product behavior.

  • No Tool Integration

    The assistant can talk, but can’t act inside real workflows.

  • No Safety + No Evals

    PII leakage, policy gaps, and no way to measure quality regression.

The Coretus Conversation Standard

Production-grade conversational systems:

  • RAG Grounding + Knowledge Ops

    Indexing, chunking, retrieval tuning, and citations for answer integrity.

  • Tool Calling + Workflow Actions

    Connect the agent to systems (CRM/ERP/support) with controlled permissions.

  • Guardrails + Evals + Monitoring

    Policy filters, PII controls, test suites, and production telemetry.

Fewer Hallucinations. More Operable Conversations.

Strategic Capabilities.

Moving from Chats to Outcomes.

Enterprise Assistants

Customer support, internal IT/helpdesk, HR policy assistants—grounded and measurable.

  • Multi-Channel UX
  • Handoff to Humans

RAG + Knowledge Grounding

Indexing, retrieval tuning, citations, and freshness so answers remain trustworthy.

  • Citations + Sources
  • Knowledge Ops

Voice Agents

Voice workflows for contact centers: intent routing, summaries, and compliant transcripts.

  • Real-Time Flows
  • Post-Call Summaries

Tool Calling + Actions

Agents that can act: ticketing, CRM updates, order status, scheduling, approvals.

  • Permissioned Actions
  • Audit Trails

Evals + Observability

Test suites, quality scoring, regression detection, and production monitoring for Day 2.

  • Automated Evals
  • Drift + Regression

Governance + Safety

PII redaction, policy guardrails, access control, and enterprise compliance patterns.

  • PII Controls
  • Policy Filters
/// Conversational Stack

Hardened System for
Reliable Conversations.

Knowledge Grounding (RAG)

Answer Integrity

Indexing, chunking, retrieval tuning, citations, and freshness to reduce hallucinations and improve trust.

Chunking + Indexing
Retriever Tuning
Citations + Freshness
RAGCitationsFreshness

Tool Calling + Actions

Workflow Impact

Controlled tool calling to ticketing, CRM, and internal systems—so the assistant can do real work safely.

Permissioned Tools
Approval Gates
Audit Trails
ToolsActionsAudit

Guardrails + Policy

Safety

PII controls, policy filtering, safe completions, and jailbreak resistance—aligned to enterprise compliance.

PII Redaction
Policy Filters
Role-Based Access
SafetyPIIRBAC

Evals + Monitoring

Day 2 Ops

Automated evals, quality scoring, latency tracking, and regression alerts so performance doesn’t drift silently.

Golden Test Suites
Quality + Latency Metrics
Regression Alerts
EvalsMetricsAlerts
/// Conversational Accelerator

Ship Assistants.
Skip the Chaos.

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.

80% +

Reduction in Hallucination Noise

1 Stack

Unified Agent Ops

Built for guardrails, evaluation, and workflow integration.
Kernel Hardened

Your Conversation Reality

Support • Sales • Ops • Internal Helpdesk

Coretus Conversation Kernel v3.1

RAG

  • Citations
  • Freshness

Tools

  • Actions
  • Audit

Guardrails

  • PII
  • Policy

Evals

  • Tests
  • Alerts
/// Pre-Configured Conversation Pods

Deploy Production-Ready Agent Squads.

Integrated delivery units specialized in RAG, tool calling, and guardrails + evals—so you ship reliably, not repeatedly rework.

Conversation Architect

Designs agent behavior, UX flows, escalation, and quality standards across channels.

UX FlowsEscalationQuality

Knowledge Engineer

Builds RAG pipelines: indexing, retrieval tuning, freshness, and citation integrity.

IndexingRetrievalFreshness
≤1.2s
Median Response Latency
Guardrails + Evals Included

Squads arrive with RAG patterns, tool interfaces, policy controls, and regression tests—built-in from day one.

Safety & Policy Engineer

Guardrails, access controls, PII redaction, and policy enforcement for enterprise compliance.

PIIPolicyRBAC

Agent Ops Lead

Evaluation harnesses, monitoring, latency budgets, and regression alerts for stable operations.

EvalsMetricsAlerts
/// Architectural Integrity

The Conversation Blueprint.

Conversational systems are a loop: ingest, ground, reason + act, and monitor—built to survive operational change.

01. Ingest + Index

Document pipelines, chunking, metadata, and indexing for retrieval.

Tech Stack:
ConnectorsChunkingIndex

02. Ground + Retrieve

Retriever tuning, citations, freshness, and ranking for answer integrity.

Tech Stack:
RAGCitationsFreshness

03. Reason + Act

Tool calling, workflow actions, approvals, and safe execution patterns.

Tech Stack:
ToolsApprovalsAudit
Agentic Grade

04. Evaluate + Monitor

Evals, observability, latency budgets, and regression alerts in production.

Tech Stack:
EvalsMetricsAlerts
Guardrails
Grounded RAG
Audit Trails
/// Delivery Framework

The Road to Reliable Agents.

A phased model that prevents brittle assistants: grounding, integration, evaluation, then scale.

Phase 01

Use-Case + Policy Audit

Define intents, workflows, policy constraints, and success metrics.

Output: Conversation Feasibility Blueprint
Phase 02

RAG + Prototype

Build knowledge pipelines, retrieval tuning, citations, and baseline eval suites.

Output: Grounded Assistant Baseline
Phase 03

Integrate + Tool Calling

Connect systems, add permissions, approvals, and audit trails for safe actions.

Output: Workflow-Integrated Agent
Phase 04

Operate, Improve, Scale

Monitoring, regression alerts, iterative improvements, and channel expansion.

Output: Measurable Conversation Impact
/// Performance Validation

Proven Conversation Outcomes.

AI Case Archives
38%
Ticket Deflection

RAG Assistant for
Customer Support

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."

CS
Support Lead
SaaS
2.6x
Faster Resolution

Tool-Calling Agent for
Ops Workflows

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."

OP
Ops Manager
Enterprise
/// Delivery Models

Conversational Partnership Models.

Choose the engagement aligned with agent complexity, governance needs, and operational ownership.

/// Trust & Controls

Governed
Conversations.

Assistants must balance speed with safety. We embed governance, evaluation, and monitoring so conversations are reliable in production.

Evaluation + Regression Tests

Golden test suites and safety checks before changes ship.

Controlled Access + PII

Role-based access, PII redaction, and protected data pathways.

Audit Trails + Monitoring

Decision logs, tool invocation tracing, and runtime telemetry.

Audit Logs

Traceable Actions

Guardrails

Policy + PII

HITL

Review Gates

Monitoring

Quality Alerts

/// Conversation Briefing

See the Agent Stack.

A 100-second breakdown of RAG grounding, tool calling, guardrails, and evals.

Coretus Conversational AI Briefing
AI Lead
Principal Engineer
Conversational Systems Lead
01:40 • AGENT MODE

RAG

Citations + freshness.

Tools

Actions + audit trails.

Guardrails

Policy + evals.

/// Conversational FAQs

Frequently Asked
Conversational Specs.

Service Identity
Conversational AI

Do you build RAG assistants?

Yes. We design indexing + retrieval with citations and freshness so answers remain trustworthy.

Can agents take actions safely?

Yes. Permissioned tool calling, approvals, and audit trails are built into the execution layer.

What about safety and compliance?

PII controls, policy filters, RBAC, and evaluation harnesses are part of the production baseline.

Voice support included?

Yes. Voice workflows for routing, summaries, and compliant transcripts can be added as channels.

How do you measure quality?

Golden test suites, rubric scoring, regression detection, and production telemetry for Day 2 stability.

Conversation Feasibility?

We can deliver a 48-hour feasibility audit for your highest-impact assistant or agent workflow.

Request Conversation Briefing

Build Grounded Assistants.

Stop 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