AI Development Services: Custom AI agents, chatbots and conversational AI

We design, build and run AI agents that answer your customers, qualify your leads and take work off your team's plate, across your website, WhatsApp and the phone. One brain behind every channel. Every conversation captured.

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Built on Gemini, Claude and GPT — whichever fits the job. Shipped by engineers who run production systems, not slide decks.

Built on and works with

  • Google Gemini
  • Anthropic Claude
  • OpenAI
  • Google Cloud
  • WhatsApp Business
  • Instagram
  • Messenger
  • Slack
  • Microsoft Teams
The response problem

Most businesses don't have an AI problem. They have a response problem.

A lead fills in a form at 11 p.m. and hears back two days later. A customer asks the same shipping question your team has answered four hundred times this month. A sales rep spends Monday morning copying chat transcripts into a CRM. None of this needs more headcount. It needs software that can understand a request, act on it and hand off cleanly when a human is required.

That is what Inorva builds. We turn large language models into working business systems: agents with real permissions, chatbots grounded in your own data, and conversational interfaces your customers actually want to use.

We don't sell a model wrapped in a chat bubble. We sell the outcome, measured in leads captured, tickets resolved and hours returned to your team.

Every day, without AI

  1. 11:04 PMA lead fills in a formHears back two days later.
  2. × 400The same shipping questionAnswered again this month.
  3. MON 09:00Copying chat transcriptsInto a CRM, by hand.

What we sell is the outcome

  • Leads captured
  • Tickets resolved
  • Hours returned

We work with companies anywhere in the world. Our engagements run remotely, in English or Arabic, with delivery cycles measured in weeks.

What we build

AI development services we offer

Seven ways we turn large language models into working business systems.

AI agents01 / 07

Custom AI agent development

An AI agent does more than reply. It reads a request, decides what needs to happen and takes action through the tools you give it: checking availability in your calendar, creating a record in your CRM, pulling an order status from your database or escalating to the right person on your team. We design agents around your actual workflows, define exactly what they are allowed to touch and build the guardrails that keep them on task. The result is an AI agent that behaves like a reliable junior colleague, not an unpredictable demo.

See the full service
Choose the right build

AI agent vs. chatbot: which one do you need?

The terms get used interchangeably, but they solve different problems, and choosing the wrong one wastes budget.

ChatbotExample conversation

What are your opening hours on Friday?

We open at 2 p.m. on Fridays and close at 11 p.m. Want me to share the location?

AI agentExample conversation

Can I book a consultation Thursday afternoon?

Thursday at 4 p.m. is free. You're booked, and the confirmation is on its way.

  • Calendar
  • CRM
  • Confirmation
Answers questions

Chatbot

A chatbot answers questions. It is the right choice when most of your inbound volume is repetitive and informational: opening hours, pricing tiers, return policies, how-to questions. A well-built chatbot can resolve the majority of those conversations without human involvement.

Completes tasks

AI agent

An AI agent completes tasks. It is the right choice when a conversation should end with something done: a meeting booked, a quote generated, a refund initiated, a lead qualified and pushed to sales. Agents need access to your systems, clear permissions and stronger safeguards, so they take more engineering.

The path most businesses take

  1. 1Start with a grounded chatbot
  2. 2Prove the value
  3. 3Extend it into an agent that acts

We design for that path from the first sprint, so nothing has to be thrown away.

Omnichannel

One brain, every channel, every lead in one place

Customers don't care which channel your team prefers. They message on WhatsApp, chat on your website, call your number and expect you to remember all of it. So we build omnichannel AI agents that share one knowledge base, one set of rules and one memory.

  • Website agent

    Chat and voice on your site, answering questions and booking consultations in real time.

  • WhatsApp AI chatbot

    The same agent on the channel your customers already open fifty times a day.

  • Voice

    Natural phone and in-browser conversations, summarized automatically.

  • Lead dashboard and mobile app

    Every conversation, booking and contact form lands in one place, with phone numbers, emails, conversation summaries and the language the customer spoke. Your team follows up from their phone, not from five different inboxes.

Where the value compounds

The dashboard is where the value compounds. It turns scattered conversations into a pipeline you can see, sort and act on, and it shows you exactly what customers are asking, so your marketing and your product improve along with your response times.

Use cases

Where AI agents pay off first

Volume plus repetition is where AI is strongest and where the return shows up first.

  • 01

    Healthcare clinics

    Answer service and insurance questions, book and reschedule appointments, and send reminders that cut no-shows.
  • 02

    Real estate

    Qualify buyers and tenants by budget, location and timeline, share matching listings and book viewings around the clock.
  • 03

    Education and training

    Guide prospective students through programs, fees and admissions, and handle enrollment questions at peak season.
  • 04

    E-commerce and retail

    Track orders, recommend products, recover abandoned carts and handle returns without opening a ticket.
  • 05

    Hospitality and restaurants

    Take reservations, answer menu and allergen questions and manage group bookings in several languages.
  • 06

    Professional services

    Pre-qualify inquiries, collect case details and route each lead to the right partner with a summary attached.
  • 07

    SaaS and software companies

    Deflect tier-one support, onboard new users inside the product and surface usage insights to customer success.

Healthcare · Real estate · Education · Retail · Hospitality · Services · SaaS

Leads arrive outside business hours

The common thread is volume plus repetition.

That is where AI is strongest and where the return shows up first.

Readiness

Signs your business is ready for an AI agent

You don't need a data science team or a two-year roadmap to benefit from AI. You need a clear, repeatable conversation that is costing you time or revenue today. If any of these sound familiar, an AI agent will likely pay for itself quickly:

  • Your team answers the same twenty questions every day across chat, email and WhatsApp.
  • Leads arrive outside business hours and go cold before anyone replies.
  • Booking an appointment or a demo still takes several back-and-forth messages.
  • Customer conversations live in personal phones and inboxes, so nobody sees the full pipeline.
  • You serve customers in more than one language and can't staff every one of them.
  • Your support costs grow in a straight line with your customer count.
How we work

How we build AI that works in production

AI projects fail in predictable ways: unclear scope, messy data, no way to measure quality and no owner after launch. Our process is designed to remove each of those risks.

  1. 01

    Discovery

    We map the conversations and workflows worth automating, define success metrics and agree on what the AI may and may not do.

  2. 02

    Knowledge and data design

    We structure your content, connect your systems and decide what the model retrieves, remembers and ignores.

  3. 03

    Build

    We develop the agent, its integrations and its interface in short cycles, with a working version in your hands early.

  4. 04

    Evaluation

    We test against real questions from your business, including the awkward ones, and measure accuracy, tone, latency and cost per conversation.

  5. 05

    Launch

    We deploy with monitoring, human handoff and clear escalation rules, starting with a controlled share of traffic where that makes sense.

  6. 06

    Improve

    We review transcripts, close knowledge gaps and tune behavior every month, so the agent gets better as volume grows.

What we measure

An AI project without numbers is a hobby

Before we write a line of code, we agree on the metrics that define success for your business and build the reporting to track them from launch day. Depending on the use case, that usually includes:

Resolution rate

The share of conversations the agent completes without a human.

At any hour

Response time

How fast customers get a useful answer, at any hour.

Leads and bookings captured

Qualified contacts and appointments created by the agent.

Handed to a personFull context attached

Handoff quality

How often your team receives a conversation with everything they need to act.

Cost per conversation

Model and infrastructure cost, tracked so it stays predictable as volume grows.

Security

Security, privacy and control

An AI agent speaks for your brand, so it has to be safe by design.

01

Grounded answers

The agent answers from approved sources and says so when it doesn't know, which sharply reduces hallucinations.

02

Scoped permissions

Each agent can only reach the systems and actions it needs, nothing more.

Safe by design

Human in the loop

Sensitive requests, complaints and high-value deals are handed to a person, with full context.

Data protection

Encryption in transit and at rest, access controls and retention rules that fit your obligations under GDPR and regional data protection laws.

Audit trail

Every conversation and action is logged, so you can review what happened and why.

Our technology

Built on Gemini, Claude and GPT

We build on the three major model families — Google's Gemini, Anthropic's Claude and OpenAI's GPT — and choose per job: long context and images or documents, careful reasoning over your data, or fast, low-cost replies at volume. We host on Google Cloud or on the infrastructure you already run, and when your requirements call for a different provider, we integrate with it.

Around the model we use the tools that make AI dependable: retrieval pipelines and vector search for grounded answers, function calling for safe actions, workflow automation for multi-step processes and modern web and mobile frameworks for the interfaces your team and customers touch. Everything is version-controlled, monitored and documented, and you own the code and the data.

You own the codeYou own the data
Why Inorva

Why companies choose Inorva

Built on
  • Google Gemini
  • Google Cloud
  • Firebase
  • LangChain
  • TypeScript
  • React
  • Docker
  • GitHub

Engineering leadership, not prompt tinkering.

Our founders have run engineering and shipped production systems. We bring that discipline to AI.

We build our own AI products.

Our CRM, signals and agent products run on the same stack we use for clients, so we have already paid for the lessons.

Outcomes over hype.

Every project starts with a metric that matters to your business, and we report against it.

Bilingual by default.

We build natively in English and Arabic, including regional dialects, which matters if you serve the Middle East or multilingual audiences.

You own everything.

Code, prompts, data and documentation are yours. No lock-in.

Ways to work with us

Pick the engagement that fits

Fastest route to live

Ready-to-deploy AI agent

Our omnichannel agent, configured with your knowledge, brand voice and integrations. The fastest route to live.

Scoped build

A defined AI chatbot, agent or integration, delivered against an agreed scope, timeline and price.

Talk to us

Custom AI product

A dedicated team for a larger platform or a generative AI product, from discovery through launch and ongoing improvement.

Talk to us
FAQ

Frequently asked questions

  • It depends on channels, integrations and how much the agent is allowed to do. A grounded website chatbot costs far less than a voice and WhatsApp agent that books meetings and writes to your CRM. After a short scoping call we quote against that scope, in writing, and if the scope grows we agree the change with you before the price moves.

  • Most agents take two to six weeks, and a configured agent on our existing platform can go live at the short end of that. Builds with many integrations are scoped first and dated in writing, with a working version available early in the project.

  • Any language model can be wrong, which is why we ground answers in your approved content, test against real questions before launch, set clear handoff rules and monitor conversations afterward.

  • Yes. We connect to common CRMs, calendars, helpdesks, databases and messaging platforms, and we build custom connectors for internal systems through their APIs.

  • Yes. We build multilingual agents, with particular depth in Arabic and its regional dialects, and the agent can reply in the language the customer uses.

  • No. Most projects start with what you already have: your website, FAQs, policies and product information. We help you structure and fill the gaps.

  • No. It removes the repetitive part of their work. Your team spends less time on routine questions and more time on complex cases, complaints and high-value customers, where people make the biggest difference.

  • Traditional chatbots follow fixed decision trees and break when a customer phrases something unexpectedly. Conversational AI understands natural language, keeps context across a conversation and can reason over your content, so customers can ask in their own words.

  • You do. Conversations, customer data, prompts, source code and documentation belong to your company, and we hand everything over at the end of the engagement.

  • We monitor performance, review conversations and update the agent's knowledge and behavior on a regular cycle. Most clients keep us on a monthly support and improvement plan.

  • Yes, and we recommend it. Start with one channel and one high-volume use case, prove the result and then expand to more channels, languages and actions.

Talk to the agent

Don't take our word for it. Talk to the agent.

The fastest way to judge an AI agent is to use one. Ask ours anything about your business case, by chat or by voice, and see how it handles the conversation and what lands in the dashboard afterward. When you're ready, we'll scope yours.

contact@inorva.co
Inorva AgentOnlineExample conversation

  1. We run three dental clinics. Can you handle bookings on WhatsApp?

  2. Yes. I can answer service and insurance questions, book and reschedule appointments, and send reminders. Shall I set up a scoping call?

  3. Thursday works.

  4. Booked for Thursday. You'll get the details by email.

New leadWhatsApp · EnglishBooked a scoping call · ThuExample