Conversational AI Consulting

Conversational AI Consulting That
Actually Resolves

Most chatbots frustrate users. Ours resolve issues. We advise teams on conversation design, NLU architecture, intent modelling, and escalation strategies that turn automated interactions into genuine customer experiences.

78% Average first-contact resolution rate
45% Reduction in live agent escalations
60+ Conversational AI systems designed
What You Get

Conversational AI Consulting Services & Deliverables

As a conversational AI consultancy, we deliver tangible design artefacts — not slide decks — that bridge the gap between user expectations and system capabilities, so your chatbots and voice agents resolve issues from day one.

Conversation Design Document

Dialogue flows, persona definition, tone guidelines, and edge-case handling for every supported intent. This is the blueprint your developers and writers build from, removing ambiguity across the full conversation lifecycle.

NLU Architecture Design

Intent taxonomy, entity model, training-data strategy, and confidence-threshold configuration. Increasingly grounded in retrieval (RAG) so responses stay accurate instead of guessing when the model is unsure.

Escalation & Handoff Framework

Rules and routing logic for seamless handoff to human agents with full context preservation. The framework defines exactly when AI should step back, a critical safeguard as agentic flows take on more complex tasks.

Channel Strategy Blueprint

Optimised conversation design across web chat, WhatsApp, voice, SMS, and in-app messaging channels. We define how one assistant adapts its behaviour per channel while keeping your brand voice consistent everywhere.

Analytics & Improvement Plan

Conversation-analytics dashboard design covering containment rate, resolution rate, and user-satisfaction tracking. A measurable feedback loop that proves ROI and pinpoints exactly which intents need iteration.

Testing Framework

Automated test scenarios covering happy paths, edge cases, and adversarial inputs for continuous quality assurance. Includes prompt-injection and hallucination checks that protect both users and your brand at scale.

Our Process

How Our Conversational AI Consultants Work

1

Interaction Analysis

We analyse your existing support tickets, call transcripts, and chat logs to identify the most impactful automation opportunities.

2

Persona & Tone Design

We define the conversational persona, tone, and language style that aligns with your brand and customer expectations.

3

Dialogue Flow Engineering

We design conversation flows with branching logic, disambiguation strategies, and graceful fallback paths.

4

Architecture & Platform Selection

We recommend the right platform and architecture — whether that is a fine-tuned LLM, a structured NLU engine, or a hybrid approach.

5

Launch & Optimisation Plan

A phased rollout strategy with A/B testing, feedback loops, and continuous improvement cycles.

Ready to Start?

Your Chatbot Should Resolve, Not Deflect

Let us design a conversational AI system your customers actually want to use. Start with a free consultation.

Schedule Free Consultation
Who This Is For

Who This Is For

Teams that want AI-powered conversations to genuinely improve customer experience.

Banking & FinTech CX Teams

Deploy conversational AI for account inquiries, transaction disputes, and loan applications with full compliance.

Healthcare Providers

Design patient-facing virtual assistants for appointment scheduling, symptom triage, and medication reminders.

E-Commerce Support Teams

Automate order tracking, returns processing, and product recommendations through intelligent conversation.

Travel & Hospitality

Build booking assistants, concierge bots, and disruption management agents that handle complex itineraries.

Why OpenMalo

Why OpenMalo for Conversational AI

We design conversations, not just chatbots. The difference is everything.

Resolution-First Design
Every conversation flow is designed to resolve the user's issue, not just collect information and escalate.
Hybrid NLU Expertise
We know when to use structured intent engines, when to use LLMs, and when a hybrid approach delivers the best results.
Seamless Escalation Design
When AI cannot resolve an issue, the handoff to a human agent is smooth, contextual, and invisible to the user.
Multilingual Capability
We design conversational systems that work across languages with proper cultural adaptation, not just translation.
Data-Driven Optimisation
Post-launch analytics and feedback loops are part of the design, not an afterthought.
Responsible AI Practices
Transparency about AI identity, data handling disclosures, and bias testing are built into every system.
Get Started

Design a Conversational AI That Works

Tell us about your customer interactions and support challenges. We will identify the best automation opportunities.

Free conversation design consultation
Support ticket and chat log analysis
Platform-agnostic recommendations
Multilingual and multi-channel design
Continuous improvement framework included
0/2000
Featured Case Study

Virtual Agent Handles 65% of Banking Queries

Banking Case Study

Digital Bank Deploys AI-Powered Support

A digital bank was scaling rapidly but support costs were growing faster than revenue. Their existing rule-based chatbot had a 12% resolution rate and customers hated it.

65%
Of queries fully resolved without human agent
4.2/5
Customer satisfaction score for AI interactions
$340K
Annual savings in support operations costs
The Challenge

The Challenge

A rule-based chatbot with rigid flows that frustrated customers and barely resolved any issues independently.

Existing chatbot had only 12% first-contact resolution rate
Customer complaints about the bot increased 200% in six months
Support team was manually handling queries the bot should have resolved
No analytics on why conversations were failing or where users dropped off

Our Approach: We redesigned the entire conversational experience: new intent taxonomy based on actual ticket analysis, LLM-powered dialogue for complex queries, structured flows for transactional tasks, and a seamless escalation path that preserves full context. Resolution rate jumped from 12% to 65% within three months.

FAQ

Frequently Asked Questions

Conversational AI consulting is advisory work that helps teams design, build, and improve chatbots and voice agents that resolve issues instead of deflecting them. A conversational AI consultant guides decisions on conversation design, NLU architecture, intent modelling, and escalation strategy — so your automated experience actually works for real users.