AI & Agentic Solutions
Put AI to work, not just on display
Practical AI that does real work in your business. We design agentic workflows, build MCP servers that securely connect AI assistants to your systems and data, and add AI capabilities to the tools you already use.
What's included
AI Solutions services
AI Strategy & Readiness
Find where AI pays off
We assess your processes, data, and risk tolerance, then deliver a prioritized roadmap of AI use cases tied to real time and cost savings.
Agentic Workflows
AI that takes the next step
AI agents that triage requests, gather information across systems, draft responses, and hand off to a person when judgment is needed.
MCP Server Development
Connect AI to your systems
Custom Model Context Protocol servers that give AI assistants like Claude secure, permissioned access to your databases, APIs, and internal tools.
AI-Powered Features
Smarter apps, same tools
Document extraction, summarization, classification, and natural-language search built directly into your applications and workflows.
AI-Accelerated Development
Ship faster with agentic coding
We use agentic coding tools in our own delivery to move faster without cutting corners, and we can help your developers adopt them effectively.
Guardrails & Governance
Safe, auditable, human-in-the-loop
Least-privilege access, logging, evaluation, and human approval steps so every AI action is reviewable and secure.
What you can expect
Results, not just deliverables
- AI use cases tied to measurable time or cost savings
- Secure, permissioned access to your data, never a free-for-all
- Human review built in where it matters
- Solutions that work with the tools you already use
Tools & technologies
- Claude
- Model Context Protocol (MCP)
- Agentic workflows
- LLM APIs
- .NET
- Go
- REST & gRPC
We pick the right tool for your situation rather than forcing one stack on every project.
How we work
A clear process, start to finish
- 01
Discover
We learn your goals, constraints, and what success looks like.
- 02
Design
We shape a plan and scope together before any build begins.
- 03
Build
Iterative delivery with regular check-ins, so there are no surprises.
- 04
Support
Launch, handoff, and ongoing care for as long as you need it.
FAQ
Common questions
What is an MCP server?
The Model Context Protocol (MCP) is an open standard that lets AI assistants connect to outside systems. An MCP server exposes specific tools and data, like looking up an order or creating a ticket, with the permissions you define, so AI can work with real information safely.
How is this different from traditional automation?
Traditional automation follows fixed rules. Agentic AI can read unstructured information, make judgment calls within limits you set, and adapt to variation. Many of the best solutions combine both.
Is our data safe?
We design around least-privilege access, audit logging, and human approval for sensitive actions, and we help you choose AI providers and settings that match your data policies.
Where should we start?
Usually with a short readiness assessment to identify two or three high-value, low-risk use cases. A small pilot then proves the value before a wider rollout.
Let's build something that lasts.
Tell us what you're working on. We'll follow up to talk through your goals and the best next step. No pressure, no jargon.