Hexagon Digital

Services

Custom AI Agent Development

Agents for sales, support and internal work, built on your own data and tools.

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What's included

24/7Agents working inside your tools

Sales · Support · Internal operations
What's included

The problem with generic AI tools

Off-the-shelf assistants don’t know your documents, your customers or your rules, so every answer needs checking and nothing gets done without a person copying it into another system.

We build agents around your own data and tools. Each one has a defined job, clear limits on what it can read and change, and a person approving the steps that matter.

Our standard
  • Grounded in your own data
  • Scoped permissions per tool
  • Human approval where it matters
  • Tested before every release
Deliverables

What's included

  1. 01

    Strategy

    Agreement on scope and approach before anything is built.

    • Discovery & requirements
    • Success criteria definition
    • Scope, timeline & plan
  2. 02

    Build

    Staged delivery, reviewed with you and tested as it goes.

    • Design & development
    • Integrations & setup
    • QA & testing checklist
  3. 03

    Handoff

    Everything your team needs to own what we deliver.

    • Documentation
    • Team training
    • Access & ownership transfer
  4. 04

    Support

    Continued monitoring and improvement after launch.

    • Monitoring & fixes
    • Iteration cycles
    • Performance reporting
How we work

A process built for results

Clear milestones, regular updates and no surprises. Here’s how we get from idea to launch.

  1. Step 01

    Discovery & Goals

    We ask the right questions to understand how your business works today, what is slowing it down and what success should look like.

    • Goals & success metrics
    • Audit of current setup

    Timeline3–5 days

  2. Step 02

    Plan & Design

    We agree scope, timeline and approach, then map the flows or design the screens so you see what you are getting before we build.

    • Fixed scope & timeline
    • Flows or screen designs

    Timeline1–2 weeks

  3. Step 03

    Build & Test

    We build in stages and keep you updated. Everything is tested on real devices and in real conditions before it goes live.

    • Weekly progress demos
    • Real-device testing

    Timeline2–6 weeks

  4. Step 04

    Launch & Improve

    We handle the launch, watch how it performs, fix what needs fixing and keep improving based on the data.

    • Go-live & handover
    • Monthly performance reviews

    Timeline1 week + ongoing

Prefer to talk first?

Most projects go live in 4–10 weeks. Tell us what you’re working on and we’ll come back with a rough scope, timeline and next steps.

Book a discovery call
Custom AI Agents examples

See what's possible

Typical projects we deliver for teams like yours

SalesCRM

Sales Research Agent

Inputs
New lead in CRM
Steps
ResearchSummariseDraft email
Result
Reps start every call with context.
SupportEmail

Support Triage Agent

Inputs
Email / Ticket
Steps
ClassifyDraft replyRoute
Result
Faster first response.
InternalDocs

Knowledge Base Agent

Inputs
Documents / Policies
Steps
SearchSummariseAnswer
Result
Fast answers. Fewer interruptions.

What clients say

Mohit Chauhan

CEO, Paladiya Construction
“Entering every supplier bill by hand and calculating GST line by line was eating up our accounts team's time. Hexagon built an AI invoice reader into our expense app, and now one upload does the job. It has saved us hours every week and cut down costly errors. We highly recommend Hexagon to any business buried in paperwork.”
  • Custom AI Agents

Kshitij Shah

Co-founder, MyFinMate
“Our users had to dig through screens to answer simple questions about their money. Hexagon added an AI assistant that answers from their own data, and nothing changes without the user's approval. It solved a real problem for our users and saved us months of in-house development. We highly recommend Hexagon for serious AI work.”
  • Custom AI Agents
  • Mobile App Development

Atul Vora

Founder, AV Properties
“We were spending hours every day typing WhatsApp broker messages into our website. Hexagon built an AI agent that reads every message and turns it into a ready listing. That work is now completely off our team's plate, which saves us time and staff costs, and we no longer miss deals. Highly recommended.”
  • Custom AI Agents

Karan Desai

Operations Head, Brain Rag
“Our team wasted a lot of time hunting through Google Drive and Dropbox for answers. Hexagon built an assistant that answers from our own documents and shows where each answer came from. People find what they need in seconds, and there are far fewer interruptions across the team. We highly recommend Hexagon.”
  • Custom AI Agents

Kshitij Shah

Co-founder, MyFinMate
“Hexagon integrated an AI assistant into our app smoothly, without disrupting anything our users relied on. They were clear and honest about what the assistant could do. It saved us the time and cost of building an AI team in-house. We highly recommend Hexagon for app and AI work.”
  • Mobile App Development
  • Custom AI Agents

AI models we build with

  • OpenAI
  • Claude
  • Gemini
  • Perplexity
  • Grok
  • DeepSeek
FAQ

Common questions

Everything you need to know before we start working together.

What is the difference between an AI agent and a chatbot?

A chatbot answers questions. An agent also does things: it looks up records, drafts changes and moves work between your tools, within limits you set. The finance assistant we built for the MyFinMate app answers from each user’s own data, and drafts any change as an approval card that only runs once the user accepts it.

Can an AI agent answer from our own documents without making things up?

Yes, using retrieval-augmented generation (RAG): the agent searches your documents for each question and answers only from what it finds, naming the source. In the internal knowledge assistant we built over Google Drive and Dropbox, when the documents don’t hold the answer, the assistant says so instead of guessing.

Which AI models do you build with?

We choose the model for each task, working with OpenAI, Anthropic Claude, Google Gemini and others. Agents can be designed so the model is a setting rather than a rebuild: in our knowledge assistant the provider is switched from an admin screen.

How do you keep an agent from doing something it shouldn’t?

Each agent gets a defined job, read-only access wherever it only needs to look, and a person approving the steps that matter. We test its answers against known cases before every release, and log what it does so you can review it.

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Connect with an expert

Let’s talk about your project

Tell us what you want to build or automate, and we’ll show where AI, web and marketing can make the biggest difference.

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