Conversational AI for
Grounded Conversations.

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

Discuss Your Project

RAG + Assistants

Tool Calling + Actions

safeguards + 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, made-up answers 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

Assistants Ready for Daily Work:

  • 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.

  • safeguards + Evals + Monitoring

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

Fewer made-up answers. More Operable Conversations.

Our Capabilities.

Moving from Chats to Outcomes.

Business 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
  • activity records

Evals + Monitoring

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

  • Automated Evals
  • Drift + Regression

Rules & Safety

PII redaction, policy safeguards, access control, and security and compliance needs patterns.

  • PII Controls
  • Policy Filters
Conversational Stack

Secure System for
Reliable Conversations.

Knowledge Grounding (RAG)

Answer Integrity

Indexing, chunking, retrieval tuning, citations, and freshness to reduce made-up answers and improve trust.

Chunking + Indexing
Retriever Tuning
Citations + Freshness
RAG Citations Freshness

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
activity records
Tools Actions Audit

safeguards + Policy

Safety

PII controls, policy filtering, safe completions, and jailbreak resistance, aligned to security and compliance needs.

PII Redaction
Policy Filters
Role-Based Access
Safety PII RBAC

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
Evals Metrics Alerts
Conversational Foundation

Ship Assistants.
Skip the Chaos.

We deploy the Coretus Conversation Module™, a secure, ready-made 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 made-up answers Noise

1 Stack

Unified Agent Ops

Built for safeguards, evaluation, and workflow integration.
Module Secure

Your Conversation Reality

Support • Sales • Ops • Internal Helpdesk

Coretus Conversation Module v3.1

RAG

  • • Citations
  • • Freshness

Tools

  • • Actions
  • • Audit

safeguards

  • • PII
  • • Policy

Evals

  • • Tests
  • • Alerts
Pre-Configured Conversation Pods

Deploy Production-Ready Agent Squads.

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

Conversation Architect

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

UX Flows Escalation Quality

Knowledge Engineer

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

Indexing Retrieval Freshness
≤1.2s
Median Response Latency
safeguards + Evals Included

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

Safety & Policy Engineer

safeguards, access controls, PII redaction, and policy enforcement for security and compliance needs.

PII Policy RBAC

Agent Ops Lead

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

Evals Metrics Alerts
Sound Technical Foundation

The Conversation Blueprint.

Conversational systems are a loop: process, ground, reason + act, and monitor, built to survive day-to-day change.

01. Process + Index

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

Tech Stack:
Connectors • Chunking • Index

02. Ground + Retrieve

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

Tech Stack:
RAG • Citations • Freshness

03. Reason + Act

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

Tech Stack:
Tools • Approvals • Audit
AI-driven Grade

04. Evaluate + Monitor

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

Tech Stack:
Evals • Metrics • Alerts
safeguards
Grounded RAG
activity records
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 activity records 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 smooth."

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, activity records, and evals.

"It didn’t just answer, it executed safely. Approvals and audit logs made it production-ready."

OP
Ops Manager
Business
Delivery Models

Conversational Partnership Models.

Choose the engagement aligned with agent complexity, oversight needs, and Day-to-Day 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.

Activity Records & Monitoring

Decision logs, tool invocation tracing, and runtime monitoring.

Audit Logs

Traceable Actions

safeguards

Policy + PII

human review

Review Gates

Monitoring

Quality Alerts

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 activity records are built into the action system.

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 monitoring 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 Helpful AI Assistants.

Build an AI assistant that answers with trusted information and completes useful tasks. We combine RAG, voice, tool access, safeguards, testing, and monitoring, with full ownership.

RAG + Tool-Calling Agents

safeguards + Evals

100% Data & Model Ownership