Generative AI development services grounded on your business data
Generative AI development services build custom AI into your workflows: it drafts your replies, generates your documents and content, summarizes your calls, and extracts data from messy inputs, all grounded on your own information. Your team reviews what matters and stops retyping what does not.
Your team is paid to think, and spends the day typing
The writing, summarizing, and copying that fills the workday is exactly what generative AI does well, once it knows your business.
The same documents, retyped forever
Proposals, quotes, reports, and replies get written from scratch every time, even though most of the content already exists in the last twenty versions. Skilled people become slow templating engines.
Knowledge locked in PDFs and inboxes
The answer exists somewhere: in a contract, an old email thread, a policy document. Finding it takes longer than the task itself, so people guess, ask around, or reinvent it.
Generic AI tools make things up
Your team already tried the chatbots. Without your data behind them, they invent prices, misstate policy, and write in someone else's voice. Confident and wrong is worse than slow.
AI that does the writing, your team does the judging
Every build connects the model to your documents and your tools, then puts a human review step exactly where the stakes demand one.
Drafted replies in your voice
Customer emails arrive with a ready draft attached, written from your policies and past replies. Your team edits and sends instead of starting blank.
Email automation →Document and content generation
Proposals, quotes, reports, and marketing content generated from your templates and data, consistent every time and ready for review in minutes.
Content automation →Call and meeting summaries
Every call ends with a summary, action items, and a CRM update written for you. Nobody spends Friday reconstructing what was agreed on Tuesday.
AI voice agents →Data extraction from messy inputs
Invoices, forms, emails, and PDFs become clean structured rows in your systems. The copy and paste layer of your business disappears.
Workflow automation →Retrieval over your documents
We index your contracts, policies, and knowledge so the AI answers from your actual content and can show where an answer came from.
Chatbots on this foundation →Human review built in
Approval steps sit exactly where you want them: AI drafts, a person approves, the workflow continues. Nothing high stakes leaves without sign off.
The full automation system →What grounded generative AI returns to your week
First drafts in seconds instead of hours, answers pulled from your own documents, and 20 or more hours of writing and retyping removed per team weekly.
From your documents to working AI in four steps
We audit your writing and data work free, ground the AI on your documents, test it against your real historical inputs, then hand over the system with review steps your team controls.
Free automation audit
A 30 minute call where we find the writing, summarizing, and data entry that eats your team's week, and which of it AI can safely take. You keep the written roadmap either way.
Ground on your data
We index the documents, templates, and past examples the AI should draw from, in storage you own, and agree what it must never say or send unsupervised.
Build and test on real history
We wire the model into your inbox, CRM, and file storage through n8n pipelines, then run last month's real inputs through it and compare output to what your team actually produced.
Handover with review controls
You get documentation, admin access to every account, and 30 days of included support. Your team can adjust prompts, sources, and approval steps without us.
Working systems, not AI experiments
We build into the tools you already use, ground every output on your data, price the work fixed, and prove it on your real inputs before final payment.
Grounded by default
Every system we ship retrieves from your documents before it writes a word. Accuracy is an architecture decision, not a disclaimer.
Built into your workflow
No new tab for your team to remember. Drafts appear in the inbox, summaries in the CRM, documents in the folder where they already belong.
Fixed scope, fixed price
You approve one number before we build. No hourly meters, no open ended retainers, no research phase that never ends.
Your data stays yours
Everything runs in accounts registered to your business, with provider settings that keep your data out of model training. Leave us tomorrow and it all keeps working.
A 12 agent brokerage let AI write the first reply
Portal enquiries waited 4+ hours for a human to type a response. We built a system that generated a personalized reply referencing the exact listing within seconds, plus follow up sequences, all on their existing CRM.
Frontier models, wired to your data
We build on OpenAI and Claude for generation, retrieval over your own documents for grounding, and n8n pipelines to move drafts, summaries, and extracted data into the tools your team already works in.
Generative AI development services, answered directly
What are generative AI development services?
Generative AI development services build custom AI into your existing workflows so it does real work: drafting customer replies, generating documents and content, summarizing calls and meetings, and pulling structured data out of messy emails and PDFs. The AI is grounded on your own documents and your team reviews its output where it matters.
How do you control accuracy and hallucinations?
Three ways. First, retrieval: the AI answers from your actual documents rather than its general memory, so output quotes your prices, policies, and facts. Second, review steps: anything customer facing or high stakes waits for a human approval before it goes out. Third, testing: we run the system against your real historical inputs before launch and measure where it gets things wrong.
What happens to our data?
It stays yours. Every system runs in accounts registered to your business, your documents live in your own storage, and we use API configurations where providers do not train on your data. Nothing about your customers or operations feeds anyone else's model.
How much do generative AI development services cost?
A single workflow such as drafted email replies typically starts in the low hundreds of dollars, and a complete system such as document generation with retrieval over your knowledge base usually lands between $1,000 and $5,000 to build, plus $50 to $300 a month in platform fees. We quote a fixed price after a free audit.
How long does a generative AI project take?
One to two weeks for a single workflow, two to four weeks for a complete system including retrieval over your documents and testing against your real historical data. You see it working on your actual inputs before you pay the final invoice.
Should we build custom or buy an off the shelf AI tool?
Buy when a tool matches your exact workflow and data. Build when your process, documents, or integrations are specific to you, which is most of the time once AI needs to touch your CRM, your templates, and your tone. Custom builds here are weeks, not months, and you own the result instead of renting another subscription.
Find out which drafts and documents should write themselves
Book Your Free Automation Audit30 minutes. A written roadmap. Zero obligation.
Request your free automation audit
Tell us your biggest bottleneck. An automated confirmation reaches you in seconds; a human replies within business hours.
Direct lines
- Email: info@innovariatech.space
- Phone: +1 601 860 1258 · WhatsApp
- Or use the full contact page.
What happens on the call
We ask what your team writes, summarizes, and retypes every week, and which tools you already pay for. You get a written roadmap listing the automations with the fastest payback, each with a fixed price.
Explore specific systems and industries
AI chatbot development
The same grounding, pointed at customers: chatbots trained on your real content.
See chatbot development →AI consulting
Not sure what to build first? We map your operation and rank the opportunities by payback.
See AI consulting →Automation for legal
Document drafting, intake summaries, and knowledge retrieval for firms.
See the legal playbook →