Stop burning hours on repeatable work with enterprise AI agents in your team. Find out which AI powered workflows would 10x your productivity and lower operational costs up to 80%.
AI agents handle your business workflow automation end-to-end. Your team that owned the process moves on to higher-impact work.
Costs move from hours billed to compute. Workflows automated with AI costs a fraction.
AI agents run continuously and in parallel. Output is no longer limited by team availability.
The AI agent fully handles the process, so your team stops maintaining it.
Every project includes knowledge transfer. You get the capability to add new AI agents internally.
AI powered workflows, the infrastructure to scale it, and the documentation to run it.
ROI & Opportunity Report with 2-5 agent recommendations
Architecture document and system diagrams
Production-ready agent, fully tested, and deployed
Optional: Internal Agent Playbook for building subsequent agents
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Agent Observability Suite with dashboards and alerts
Complete documentation for operations and maintenance
12-hour response time. We'll tell you what's worth building before you commit.
We architect the system, build the first agent, and hand over the infrastructure so your team can scale autonomously.
We map the architecture: prompt flows and UI on Next.js + AI SDK, retrieval via the AI Gateway, durable workflows with pause/resume, integration points with your CRM and internal systems, approval checkpoints, security controls, and monitoring infrastructure.
Architecture document with diagrams
We build and deploy the initial agent: UI, fault-tolerant workflow engine, system integrations, and full test coverage. Our process follows the Vercel transformation-sprint model: Foundation, Core Features, Integration.
One fully operational AI agent
Your team creates the second agent using the infrastructure we provided. We work together on coding, review pull requests, and document best practices. By the end of this stage, your team will be ready to continue on their own.
Internal Agent Playbook
We set up dashboards to track traces and metrics, add alerts for failures, and include logging and exception tracking. You will also have access to run history for audits. The agent will only run on its own once you have full visibility into its actions.
Agent Observability Suite
We provide runbooks, detailed documentation on agent behavior, prompt design guidelines, maintenance steps, and security protocols. This documentation is designed to make it easy for a new engineer to get started quickly.
Complete internal documentation
Replace hours of manual work with custom AI agents tailored to your teams & workflows. Up to 80% lower operational costs. The same team ships 10x more in the same week.
A prototype becomes production when you add the parts a demo skips: security controls, approval checkpoints, full test coverage, and a fault-tolerant workflow engine that can pause and resume. We start with a system design, ship one agent end–to–end, then wire up observability – dashboards, alerts, and run history you can audit – so failures show up before they cost you.
Most agents are ready for production within 4-8 weeks after kickoff. Workflows with heavy integration debt take longer. We’ll give you a timeline tailored to your workflow during our call.
For an enterprise, the best agents are those that manage a real workflow from start to finish, work reliably under production traffic, and provide your security team with a complete audit trail of every decision. The fastest payback usually comes from agents for internal knowledge (like search and onboarding), operations (moving and reconciling data between systems), customer support, and revenue operations (keeping your CRM clean, qualifying leads, and drafting follow-ups).
You add them where work already flows – your CRM, internal tools, and delivery pipeline – behind approval checkpoints, so nothing ships unreviewed. We use a durable workflow runtime for retries and human handoffs. Atlas is our AI engineering standard that we use to keep it governed. It supplies the shared project context, rules, skills, and quality gates around the workflow.
Durable workflows survive restarts, retries, and human handoffs – the agent pauses, waits for an approval or a long-running job, then resumes exactly where it left off. We build them on Atlas – our AI engineering standard – which includes a fault-tolerant workflow engine with monitoring, logging, and run history you can audit.
Describe your project and an architect will get back with a straight take on what's worth doing and where to start. 12-hour response time.
