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- Rob Machado
AI SolutionsConversational AI
Conversational AI with Human-Like Intelligence at Enterprise Scale
Conversational AI is the combination of NLU, intent handling, voice, and workflow automation that lets an AI chatbot understand requests and complete real tasks. Deploy grounded virtual agents that resolve questions, deflect tickets, and escalate cleanly across every channel your customers use.
The Problem
Your Customers Expect Instant Answers. Your Team Can't Keep Up.
Support queues grow, response times suffer, and customer satisfaction drops — all while your team burns out handling the same questions repeatedly.
Slow Response Times
Customers wait hours for answers to simple questions, leading to frustration and churn. Every unresolved ticket is a lost opportunity.
Unsustainable Support Costs
Scaling human support linearly with growth is not viable. Hiring and training costs erode margins without improving customer experience.
No 24/7 Coverage
Customers operate across time zones. Agents who only work business hours leave global customers without support when they need it most.
Repetitive, Low-Value Interactions
Over 70% of support queries are FAQs. Skilled agents spend most of their time on routine tasks instead of complex, high-value work.
Inconsistent Responses
Different agents give different answers. Without a single source of truth, quality suffers and compliance risk increases.
The Solution
Conversational AI That Understands Your Business Context
Conversational AI works best when it understands your data, your intent model, and the actions your teams need it to take. We build enterprise chatbot and customer service AI systems — chat, voice, and virtual agents — grounded in your knowledge, tuned to your brand voice, and integrated into your existing stack.
Get a Free DemoContext-aware, multi-turn conversations that feel natural and resolve intent, not just keywords.
Deep CRM, ERP, and helpdesk integrations — actions triggered in real time, not just answers given.
Seamless escalation to human agents with full conversation context passed automatically.
Built-in analytics to track resolution rates, intent trends, and customer satisfaction scores.
Multi-language support across 50+ languages — one deployment, global reach.
Continuous learning from every interaction, improving accuracy over time without manual retraining.
Key Capabilities
What Our Conversational AI Platform Delivers
From AI chatbot development to resolved outcomes — full-stack conversational intelligence for every customer touchpoint.
Natural Language Understanding
Advanced NLP models that parse intent, entities, and sentiment — understanding what customers mean, not just what they say.
Multi-Turn Dialogue Management
Persistent conversation context that tracks history, preferences, and goals across multiple exchanges and sessions.
Omnichannel Deployment
Deploy the same AI agent on web chat, WhatsApp, SMS, email, voice, Slack, and Teams — consistent experience everywhere.
Action Orchestration
Trigger real business actions — book appointments, update records, process returns — directly through conversation.
Enterprise Security & Compliance
SOC 2, GDPR, and HIPAA-compliant architecture. Data stays in your environment. No third-party model training on your data.
No-Code Agent Builder
Business teams can update conversation flows, add FAQs, and adjust tone — without waiting on engineering every time.
How It Works
From Discovery to Deployed Agent
A proven 4-step AI chatbot development process that gets your conversational AI live and delivering value in weeks, not months.
01
Discovery & Intent Mapping
We analyze your support tickets, chat logs, and business workflows to map the top intents, entities, and escalation paths your AI must handle.
02
Model Training & Fine-Tuning
We fine-tune foundation LLMs on your domain data, product catalog, and knowledge base — building a model that speaks your language.
03
Integration & Testing
Deep integration into your CRM, helpdesk, and data systems. Rigorous QA across edge cases, languages, and compliance scenarios.
04
Launch & Continuous Improvement
Go live with full monitoring dashboards. Iterative improvement cycles driven by real conversation analytics and user feedback.
Use Cases
Proven Outcomes Across Industries
Conversational AI deployed at enterprise scale — delivering measurable results across every customer touchpoint.
E-
E-CommerceAI Shopping Assistant Cuts Cart Abandonment by 31%
The Challenge
Online retailer with 2M monthly visitors was losing 68% of carts due to unanswered product and shipping questions at decision points.
The Outcome
AI assistant deployed on product pages and checkout reduced cart abandonment by 31% and increased average order value by 18% in 90 days.
Product Q&AOrder TrackingUpsell Automation
BA
BankingVirtual Banking Agent Resolves 80% of Tier-1 Queries
The Challenge
Mid-size bank with 300+ daily inbound calls for balance checks, card disputes, and loan status — all requiring live agent time.
The Outcome
Conversational AI resolved 81% of calls without human transfer. Live agent workload reduced by 62%. CSAT improved from 3.6 to 4.5.
Balance InquiryDispute ResolutionLoan Status
HE
HealthcarePatient Intake Bot Cuts No-Show Rates by 44%
The Challenge
Hospital network losing $2M/yr in revenue from appointment no-shows and manual reminder calls consuming 3 FTE hours/day.
The Outcome
AI appointment bot sent personalized reminders, rescheduled no-shows automatically, and reduced cancellations by 44% in 60 days.
Appointment BookingRemindersHIPAA Compliant
SA
SaaSIn-App Support Bot Deflects 53% of Tickets Instantly
The Challenge
B2B SaaS company with 15,000 users generating 4,000+ support tickets/month, 60% being how-to questions already in documentation.
The Outcome
Contextual AI assistant trained on documentation and product data resolved 53% of tickets instantly. MRR churn reduced by 8%.
In-App ChatDocumentation SearchOnboarding
Industries
AI Solutions Across Key Verticals
Deep domain expertise meets cutting-edge AI — delivering results where they matter most.
Why Choose Us
Why Enterprises Choose Agile Infoways
19+ years building enterprise software. A dedicated AI team that combines deep technical expertise with real business understanding.
Enterprise-First Architecture
Every system we build is designed for security, scale, and governance from day one — not retrofitted later.
Domain-Specific Training
We don't deploy generic models. We fine-tune on your data, your terminology, and your customer workflows.
Outcome-Focused Delivery
We measure success by business metrics — CSAT, ticket deflection, conversion — not just deployment milestones.
Compliance & Data Sovereignty
Your data stays in your environment. We support private deployments with full audit trails and access controls.
Proven Results
Results That Speak for Themselves
Real outcomes from enterprises that deployed conversational AI with Agile Infoways.
81%Query Resolution Rate
NorthBridge FinancialFintech
Deployed an AI banking assistant for NorthBridge's retail division. Reduced live agent load by 62% and improved CSAT to 4.5/5 within three months of launch.
BankingNLPCRM Integration
44%Fewer No-Shows
MediCore Health SystemsHealthcare
AI-powered appointment management bot integrated with Epic EHR. Automated reminders, rescheduling, and intake — reducing staff manual effort by 3 hours/day.
HealthcareHIPAAEHR Integration
31%Cart Abandonment Reduction
Streamline Retail Co.E-Commerce
Context-aware shopping assistant deployed across product and checkout pages. Answered questions, triggered live demos, and provided dynamic discount offers.
RetailUpsellMulti-Channel
Get Started Today
Ready to Deploy a Conversational AI That Actually Works?
Talk to our team about your use case. We'll show you a live demo built on your data within 48 hours.
Before You Build
Evaluating Conversational AI
What teams weigh before deploying conversational AI — how it differs from a basic chatbot, impact on support staff, build versus buy, accuracy, voice, and time to value.
8 questions answered
01
How is conversational AI different from the basic chatbot we already have?
A scripted chatbot follows decision trees and breaks the moment a customer phrases things differently. Conversational AI uses language models to understand intent, hold multi-turn context, and actually complete tasks — booking, updating, resolving. The leap comes from agentic AI that reasons and acts, instead of matching keywords to canned replies.
02
Will AI replace our support team, or work alongside them?
It replaces repetitive volume, not people. Conversational AI resolves the routine 60–70% of queries instantly and hands complex, sensitive cases to humans with full context. Your best agents move to higher-value work. Many teams also give agents an AI copilot that drafts replies and surfaces answers in real time.
03
Should we build a custom assistant or use an off-the-shelf chatbot?
Off-the-shelf tools like Intercom or Zendesk bots work for simple FAQs. Build custom when you need your own knowledge, brand voice, deep system actions, or data privacy a generic tool can't give. A custom assistant trained on your content — backed by custom AI models — resolves far more without escalating.
04
How do you stop the AI from giving wrong or made-up answers?
We ground responses in your approved content instead of letting the model free-associate. Using retrieval-augmented generation, the assistant answers only from your documents, policies, and live data, with citations and confidence checks. Anything uncertain escalates to a human. That RAG approach is what keeps answers accurate and on-policy.
05
Can it handle phone calls and voice, not just chat?
Yes — the same AI can run as a voice agent on phone lines and IVR, not just web and messaging chat. It transcribes speech, understands intent, responds naturally, and triggers actions mid-call. Voice deployments hinge on tight integration with your telephony, CRM, and backend systems so calls actually resolve.
06
How fast can we get it live, and what’s the ROI?
A focused assistant covering your top intents can go live in weeks, then expand as it learns. ROI shows up as deflected tickets, faster resolution, and 24/7 coverage without added headcount — often paying back within months. Our case studies show the resolution rates and savings teams have seen.
07
Do you build custom chatbots and conversational AI for enterprises?
Yes. We build custom chatbots and conversational AI for enterprises that need grounded answers, secure integrations, and operating workflows a generic tool cannot handle. That includes enterprise chatbot design, voice flows, escalation logic, and governance. Teams usually start by mapping intents, systems, and risks through AI strategy before we build.
08
Can conversational AI fully handle customer service?
Conversational AI can fully handle the repetitive layer of customer service AI, but not every edge case or sensitive interaction. The best systems resolve common intents instantly, trigger actions, and escalate exceptions with context so humans step in only when needed. That handoff works best when customer journeys are paired with AI automation behind the scenes.
Client Stories
Built With Trust. Proven in Production.
Hear directly from the leaders who partnered with us to ship AI-powered products, modernize platforms, and move faster than they thought possible.
"Great company with great management quality developers were really dedicated to get the job done in a timely cost-effective manner."
- Alexandar Salahsour
"They consistently delivers reliable, high-quality development solutions with exceptional communication, value, and trusted partnership."
- Joe Pellegrino, Jordan Pellegrino
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