
AI custom development & automation
An AI agency for enterprise clients. Tell us your requirement, and we build and deliver exactly what you need.
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AI custom development services
Common starting points. If your requirement is different, we build that instead.

AI agents
Agents that act across your CRM, ERP and inbox.

LLM apps and RAG
Answers from your own documents, with sources.

Workflow automation
Approvals, handoffs and reports, on autopilot.

Document intelligence
Invoices and contracts into clean data.

AI in your product
Copilots and smart search inside your apps.
When a general model is not accurate or affordable enough.
Custom models & fine-tuning
From your requirement to delivery
Requirement
1–2 weeks
We capture what you need and how success is measured.
Prototype
2–4 weeks
A working version on your real data.
Deliver
Scope based
Built, integrated and rolled out to your teams.
Support
Ongoing
Monitoring, tuning and your next requirement.

Built for enterprise clients
Security and compliance follow your requirements. Your data never trains public models.
- Deployed in your cloud
- SSO and role-based access
- Human approval steps
- Accuracy evals and monitoring
- Full audit trail
- GDPR, DPDP and SOC 2 aligned
Model-agnostic: OpenAI, Claude, Gemini, Azure OpenAI, AWS Bedrock, Llama, Mistral.
Questions
Something else? Ask our team
What does an AI custom development and AI automation agency do?
We build AI solutions to each client's requirement, rather than selling a fixed product. AppVersal works with enterprise clients to design, develop, integrate and support whatever AI system the requirement calls for.
Can you build something that is not listed on this page?
Yes. The services above are common starting points. If your requirement needs a different AI solution, we scope it and deliver it.
How much does custom AI development cost?
Cost follows your requirement: the systems involved, the data and the accuracy needed. A short requirement phase ends in a fixed estimate, so you know the cost before you commit.
How long until an AI solution is in production?
A prototype on your data usually takes two to four weeks once the requirement is agreed. Production timing depends on integrations and your security review.
Is our company data safe?
Yes. We can deploy in your own cloud, use enterprise model endpoints that never train on your data, apply your access controls and log every action.
Which AI models do you work with?
We are model-agnostic: OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, AWS Bedrock and open-weight models like Llama and Mistral, chosen per task.
Can AI automation work with our existing systems?
Yes. We integrate with SAP, Oracle, Salesforce, HubSpot, Zendesk, ServiceNow and your internal APIs, so teams keep their current tools.
