AI Agent Development
From conversational assistants to autonomous agents, we design AI grounded in your own data through RAG, and wire it into your systems with custom MCP servers — engineered for the compliance and data-residency demands of government, finance, healthcare, legal, and energy.
What's included
- Custom AI agents that take action across your systems
- Conversational assistants for staff and customers
- RAG grounded in your internal, private data
- Custom MCP servers that expose your tools & data
- Deploy self-hosted, with full data control
- 5
- Delivery stages
- MCP
- Native integration
- 6
- Industries served
- 100%
- Data stays yours
Overview
Off-the-shelf chatbots don't know your business, and generic automation can't touch your internal systems. Our AI Agent Development service builds intelligent agents that do both — assistants and autonomous agents that reason over your own data, take action across your tools, and stay inside the compliance and data-residency boundaries your industry demands.
We don't chase buzzwords. We design agents around the outcomes that matter to your organization, ground them in your private knowledge through RAG, and connect them to your systems through the Model Context Protocol (MCP) — then deploy wherever your data needs to live, cloud or fully self-hosted.
Agents, Conversational AI & RAG
It starts with agents that understand your context. We build conversational assistants for customers and staff — helpdesk and support bots, internal knowledge assistants, across web, WhatsApp, and Slack — and autonomous agents that go further with tool-calling and multi-step workflows, with human approvals wherever you want a checkpoint.
Every agent is grounded in RAG so it answers from your documents, databases, and apps — not guesses. Retrieval keeps responses accurate, current, and traceable back to your own sources, with access control and governance so people only see what they're allowed to.
MCP Servers & Integration
To let AI act on your systems safely, we build on MCP — the open standard for connecting models to tools and data. We develop custom MCP servers that expose your internal systems, databases, and APIs as well-scoped tools and resources, with secure authentication and permissions, running self-hosted on your infrastructure.
From there we integrate your agents with MCP — wiring them to your own servers and trusted third-party ones, orchestrating across several at once, with audit logging and observability throughout. The result is AI that plugs into your stack through one standardized, auditable interface instead of brittle one-off integrations.
Built for Regulated Industries
We tailor these agents for sectors where accuracy, audit trails, and data residency are non-negotiable — government and public sector, financial services, fintech and trading, healthcare, legal, and energy and utilities. That means on-prem or private-cloud deployment, isolated data, self-hosted models when residency is critical, and monitoring so you can see exactly what every agent does.
You can engage us for the full journey — analysis, planning, development, execution, and deployment — or just the stages you need. Either way, the goal is the same: AI that works on your data, inside your rules.
How it works
Analysis
We study your operations, data, and compliance needs to find where agents, RAG, and MCP create the most value.
Planning
We map prioritized use cases and a roadmap — the right agents, data sources, and MCP servers, scoped to your organization.
Development
We build the agents, RAG pipelines, and MCP servers — iterating on a working prototype grounded in your data.
Execution
We validate accuracy, safety, and impact with your team, tuning behavior against real workflows and scenarios.
Deployment
We roll out to your environment (cloud or self-hosted) and hand over with dashboards, monitoring, and optional ongoing optimization.
Scope of work
Engage us for the whole package or just the parts you need.
AI Agent Development
Agents that reason and take action.
- Custom autonomous & task agents
- Tool-calling & function execution
- Multi-step & multi-agent workflows
- Human-in-the-loop approvals
Conversational AI & Assistants
Talk to your data and systems.
- Customer-support & helpdesk bots
- Internal knowledge assistants
- Multi-channel (web, WhatsApp, Slack)
- Human handoff & escalation
RAG & Internal Data Integration
Ground AI in your private knowledge.
- RAG over documents, databases & apps
- Vector search & semantic retrieval
- Connect CRM / ERP / knowledge bases
- Access control & data governance
MCP Server Development
Expose your tools and data to AI.
- Custom MCP servers for your systems
- Tools, resources & prompts over MCP
- Secure auth & scoped permissions
- Self-hosted on your infrastructure
AI + MCP Integration
Connect agents to everything via MCP.
- Wire agents to internal & third-party MCP servers
- Standardized tool & data access
- Orchestrate multiple MCP servers
- Audit logging & observability
Deployment, Monitoring & Optimization
Run it reliably, keep costs lean.
- Cloud or on-prem / self-hosted deployment
- Logging, tracing & analytics
- Cost & performance optimization
- Continuous tuning & support
Built for your industry
We tailor AI agents to the compliance, data-residency, and workflow realities of regulated sectors.
Government & Public Sector
Citizen-service assistants and document automation with on-prem deployment and full data sovereignty.
Financial Services
Agents for onboarding, KYC, and back-office operations with strict audit trails and access control.
Fintech & Trading
Real-time assistants and analytics over market and transaction data, integrated through MCP.
Healthcare
Clinical and administrative assistants that keep patient data private and self-hosted.
Legal
RAG assistants over contracts and case files, with answers grounded and cited from your own documents.
Energy & Utilities
Operational agents over asset, sensor, and maintenance data for leaner field and grid operations.
Tools & technology
Frequently asked questions
Conversational assistants and autonomous task agents that reason, call tools, and run multi-step workflows across your systems — grounded in your own data and connected to your tools through MCP.
Retrieval-Augmented Generation lets an AI answer from your private documents, databases, and apps instead of guessing. It keeps responses accurate, current, and traceable to your own sources — essential for regulated work.
MCP (Model Context Protocol) is an open standard for connecting AI to your tools and data. We build custom MCP servers that expose your systems securely, and integrate agents with your internal and third-party MCP servers.
We tailor AI agents for regulated sectors — government and public sector, financial services, fintech and trading, healthcare, legal, and energy and utilities — where compliance, audit trails, and data residency matter.
Yes. We can deploy on your own infrastructure or a private cloud, keep data isolated, run MCP servers self-hosted, and use open models when data residency is critical — your data is never used to train third-party models.
Ready to get started?
Tell us about your needs and we'll put together a scope and quote that fits.