From first assessment to agents in production
Six services, one sequence. Start with discovery, prove it with a pilot, and scale on a governed foundation. Or engage any step on its own.
AI Work Discovery
You know AI should help somewhere, but nobody can say where. The wrong first bet burns budget and credibility.
Start an AI Work Discovery Sprint →Workflow interviews, process mapping, data-readiness assessment, automation-fit scoring, ranked backlog, kill list, and a 90-day roadmap.
Your team owns priorities and the final call on what gets automated. We recommend; you decide.
A scored backlog with effort and value estimates per use case. Every later measurement runs against this baseline.
Secure Agent Foundation
Ad-hoc AI experiments multiply with no identity, audit, or cost controls. IT is right to block them.
Scope the foundation →The Agent Framework stood up on your cloud: identity and access, approval gates, audit trail, cost tracking, MCP tool layer, knowledge base.
Your security team reviews and signs off on every control. Approval policies are yours to set.
Passes your security review. Every agent action logged, attributed, and within budget from day one.
First Agent Pilot
Demos impress; production is different. You need proof in a real workflow before committing further.
Pilot the first agent →One agent with a job description, deployed into one real workflow, measured against the pre-agent baseline for 30–60 days.
Exceptions, escalations, and every gated approval. People supervise; the agent reports.
Cycle time, throughput, quality, and cost per task versus baseline, plus an honest verdict on whether to scale.
Workflow & Systems Integration
Agents that live beside your systems create copy-paste work. The payoff comes from agents that act inside them.
Discuss your systems →Governed connections into your CRM, ERP, databases, ticketing, email, and documents, over REST, SOAP, GraphQL, or internal APIs.
Change approval and data-access policy. Nothing connects without your sign-off.
Handoffs eliminated per workflow; percentage of tasks completed end-to-end without a human touch that adds no judgment.
Managed Agent Operations
Agents are software in production. Unwatched, they drift, degrade, and quietly get expensive.
Ask about managed ops →Monitoring, evaluation, security reviews, cost management, adoption support, tuning, and a pipeline of next agents.
Your team keeps ownership and sets priorities. We handle the monitoring, tuning, and cost checks underneath.
Monthly scorecard per agent: accuracy, adoption, cost per task, incidents, and results against the target we agreed.
Custom Workflow Systems
Some workflows deserve more than an agent: a product your members, clients, or staff touch directly.
Bring us the idea →Full product engineering on the same governed foundation: web and mobile applications with AI where it earns its place.
Product direction and the customer relationship. We build; your brand owns the experience.
Defined per product: adoption, task completion, satisfaction, and unit economics agreed before build starts.
And the engineering underneath it all
Every service on this page runs on integration, cloud, and application engineering JDK has practiced for twenty years.
Custom Development & Integration →Not sure where to start? Discovery decides.
One sprint of discovery produces the ranked backlog every other service builds on.
Start an AI Work Discovery Sprint