A typical engagement lasts eight weeks: one for discovery, two for prototype & prompt sprint, three for build, one for QA, and one for multi-channel launch. This ensures enterprise-grade scalability, compliance, and ROI.
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We start with a value-mapping workshop to align business goals, KPIs, and user pain points. In ten days, you’ll have a roadmap, an early GPT-powered demo, and a cost-to-benefit model that proves exactly where the bot will save dollars and lift revenue.
Our architects help you choose the optimal blend of GPT-4o, Gemini, or on-prem Llama 3, then design a secure, RAG-ready stack, vector DBs, APIs, and guardrails; so your chatbot scales predictably without surprise latency or usage bills.
Voice-flow diagrams and Figma prototypes ensure every prompt, fallback, and emoji feel natural. We test tone, intent coverage, and accessibility so your users, whether tapping or talking, enjoy frictionless, human-sounding interactions across web, mobile, and smart speakers.
Speech recognition, sentiment analysis, and entity extraction work together to grasp context in real time. The result: 95% intent accuracy, instant language detection, and smart handoffs to human agents when emotion or compliance demands a personal touch.
Automatic translation covers 100+ languages, while memory vectors store preferences to greet each user by name and need. Expect higher NPS and retention as the bot tailors content, tone, and offers to individual behaviors across regions.
Out-of-the-box connectors tie into Salesforce, ServiceNow, SAP, SharePoint, Slack, and WhatsApp. Role-based access, audit logs, and SOC 2-aligned encryption keep data safe while letting your teams pull reports or trigger workflows instantly.
Organizations faced significant hurdles in managing employee referral programs effectively. Manual tracking of referrals was time-consuming and inefficient, with HR teams spending countless hours entering data into backend systems. Companies struggled with low employee participation rates, limited visibility into referral program performance, and difficulty automating bonus payments and eligibility checks.
We developed ERIN, an employee referral platform that transforms how companies leverage their workforce for hiring. Accessible via web and mobile, it now functions as a smart, agentic AI-driven referral engine. Powered by an AI chatbot, it guides employees and HR teams with personalized recommendations and automated workflows, streamlining talent acquisition while improving engagement.
The existing mobile application suffered from complicated navigation, information overload, poor user experience, decreased engagement, confusing interface layers, and declining user adoption of their heating control system.
Built native mobile apps using Swift (iOS) and Java (Android), with backend APIs in Python. Deployed supporting infrastructure on AWS, with RabbitMQ and Redis for real-time messaging and caching. Integrated with popular smart home ecosystems / assistants: Google Home, Apple HomeKit, Alexa, and IFTTT. UX design was made human-centric: cleaned up the information architecture, reduced unnecessary complexity, enabled users to control the temperature tightly, define profiles, set schedules, and manage heating per room/zone.
Unchecked Fitness aimed to redefine how users approach health and training through intelligent, adaptive experiences. The challenge was to create a personalized fitness platform powered by AI that can learn user behavior, dynamically optimize workouts and nutrition, and drive measurable fitness outcomes.
We built an AI-powered fitness platform with an AI chatbot that personalizes nutrition and workouts, enables frictionless navigation, and supports real-time progress tracking. Integrated AI agents using GPT APIs provide conversational guidance and adaptive recommendations, giving users intelligent, data-driven insights for a more engaging and highly personalized fitness journey that elevates results and long-term motivation.
We help you transform traditional customer touchpoints into intelligent, personalized conversational experiences.
Here is our proven AI chatbot implementation strategy.
We have specialized in-house conversational AI engineers, NLP specialists, and dialogue design experts who understand your industry needs and develop customized chatbot solutions to address your customer engagement challenges.
Our chatbot architectures feature enterprise-grade scalability, seamlessly handling fluctuating conversation volumes and millions of user interactions daily. In addition, our developers focus on response accuracy and cost efficiency as your user base grows.
We use advanced techniques such as intent optimization, context management, efficient NLU training, and smart caching to make sure your chatbot solution delivers instant response times and high user satisfaction.
We engineer enterprise-grade chatbot applications with advanced conversational architectures and responsible AI frameworks. Our team evaluates responses and conducts thorough security testing for data protection.
At TechAhead, we build mobile apps that are not only feature-rich and scalable —
they’re built with compliance, security, and regulatory integrity baked in.
The latest forecasts, data, and strategic insights you need to outpace the competition by 2030.
Real feedback, authentic stories – explore how TechAhead’s solutions have driven
measurable results and lasting partnerships.
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Awarded as a Great Place to Work for our thriving culture
Recognised by Red Herring among the Top 100 Companies
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Awarded by Greater Conejo Valley Chamber of Commerce
A typical engagement lasts eight weeks: one for discovery, two for prototype & prompt sprint, three for build, one for QA, and one for multi-channel launch. This ensures enterprise-grade scalability, compliance, and ROI.
Yes. We connect your SharePoint, Confluence, Zendesk, or other sources to a vector store, enabling Retrieval-Augmented Generation (RAG) so answers stay current without manual re-training. This ensures enterprise-grade scalability, compliance, and ROI.
Over 100 languages via real-time translation. We fine-tune tone and locale nuances for your top markets to keep brand voice consistent worldwide. This ensures enterprise-grade scalability, compliance, and ROI.
Dashboards track ticket deflection, average handle time, conversion lift, and NPS. Most clients see payback within 3 months and operational cost savings of up to 30%. This ensures enterprise-grade scalability, compliance, and ROI.
Data is encrypted in transit (TLS 1.3) and at rest (AES-256). We support on-prem or VPC deployments and never use your data for model retraining without your explicit consent. This ensures enterprise-grade scalability, compliance, and ROI.
A low-code console lets product owners edit prompts, add guardrails, and roll back versions instantly—no code push or downtime required. This ensures enterprise-grade scalability, compliance, and ROI.
Human-in-the-loop QA flags low-confidence responses, while live feedback buttons send misfires to a review queue for rapid prompt or knowledge-base updates. This ensures enterprise-grade scalability, compliance, and ROI.
Kubernetes-based autoscaling allocates GPU or CPU capacity on demand, maintaining sub-two-second response times even during Black-Friday-level traffic. This ensures enterprise-grade scalability, compliance, and ROI.
AI chatbots are used in customer support, lead generation, HR automation, IT helpdesks, e-commerce personalization, and employee onboarding across enterprises.
AI chatbots offer 24/7 support, instant query resolution, personalized interactions, and proactive recommendations—leading to higher CSAT, NPS, and customer retention.
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