The next wave of AI isn't chatbots — it's agents that take action. We build custom AI agents, enterprise copilots, and multi-agent systems that plug into your CRM, ERP, and internal tools to complete real work, safely and with oversight.
Autonomous agents that handle real work — support, research, sales outreach, document handling, and internal operations — built for your workflows, not a generic template.
Internal copilots that answer questions over your own documents, wikis, and data using RAG — so your team gets accurate, sourced answers instead of hunting through SharePoint.
NLP-powered chat and voice assistants for customer support, lead qualification, and self-service — trained on your knowledge base and connected to your systems.
Teams of specialized agents that collaborate on complex, multi-step tasks — one plans, one researches, one executes — with the guardrails and oversight enterprises require.
We connect agents to your CRM, ERP, cloud apps, and internal tools so they can actually take action — update records, send messages, trigger workflows — not just chat.
Domain-specific fine-tuning, prompt engineering, evaluation, and ongoing optimization to keep agents accurate, safe, and improving as your business changes.
Customer support agents with full context and system access
Sales agents that qualify leads and personalize outreach
Research & knowledge agents powered by RAG over your data
Ops agents that run invoicing, HR, and back-office workflows
Code & developer copilots that boost engineering productivity
Data-analysis agents that surface trends and anomalies
A chatbot answers questions. An AI agent takes action. Agents can plan multi-step tasks, use tools, call your APIs, and complete real work — like processing a refund, updating a CRM record, or researching and drafting a report — with a human in the loop where it matters.
Yes — that's the point. An agent is only useful if it can act in your systems. We integrate agents with Salesforce, HubSpot, NetSuite, Microsoft 365, and custom internal apps so they can read and write data, not just talk about it.
RAG (retrieval-augmented generation) is how we build copilots that answer from your own documents and data instead of the model's general training. It retrieves the relevant passages from your knowledge base and cites them — giving your team accurate, sourced answers and reducing hallucinations.
Guardrails, evaluation, and oversight. We add permission scopes, human-in-the-loop approval for sensitive actions, structured evaluation against real scenarios, and monitoring in production. For regulated industries we pair this with the governance frameworks from our AI implementation practice.
A focused single-purpose agent or copilot is typically live in 4–8 weeks. Multi-agent systems and enterprise-wide copilots take 2–4 months, delivered in phases so you validate value early with a pilot before scaling.
Book a free 30-minute scoping call. We'll identify the highest-impact agent to build first and how it plugs into your stack — no commitment required.