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JDKTechnologies
AI implementation & workflow integration

Automate the repeatable.
Keep the decisions human.

JDK helps organizations decide what AI should do, prove it in a real workflow, and run it securely in the systems they already use.

HUMAN APPROVALAGENT CONTROL LAYERROLE-BASED AGENTSSupport TriageRUNNINGFinance OperationsPENDINGData AnalysisRUNNINGPERMISSIONS · AUDIT TRAIL · COSTYOUR PEOPLEChatEmailTicketsAppsEXISTING SYSTEMSCRMERPDatabasesDocs

AI does the work. People stay in control.

Model-neutral by design

Use whichever LLM is best for the job: commercial, open, or private. JDK connects it to the work, controls what it can do, and measures the result.

  • THE MODELSWe pick the LLM that handles each task best.
  • THE WORKJDK finds the tasks worth giving to AI.
  • THE WIRINGJDK connects the model to your tickets, email, and systems.
  • THE CONTROLSPermissions, approvals, audit trails, cost limits.
  • THE PROOFEvery workflow measured against a baseline.
The problem

AI tools are everywhere. Your workflows haven't noticed.

Teams have copilots and chatbots. But tickets, invoices, policy questions, and reports still move the way they always have: by hand, between systems that don't talk to each other.

Ticket #4821Invoice PDFPolicy questionWeekly reportJDKONE GOVERNED CONNECTION LAYER

Licenses without workflow

AI subscriptions pile up, but none of them are wired into how work actually gets done.

Pilots that stall

Demos impress and then die, because nobody scored the work for automation fit first.

Risk without governance

AI use spreads on its own, with no permissions, no audit trail, and no cost controls.

The JDK approach

Decide first. Then prove. Then run.

01

Discover

Map how work actually gets done, not how the org chart says it does.

02

Score

Rate every task for automation fit, data readiness, and risk.

03

Prove

Put one agent to work in a real workflow and measure it.

04

Deploy

Run it securely in the systems you already use.

05

Manage

Monitor, tune, and watch cost. Add agents one at a time.

It starts with the Business AI Analyst. Find the work worth giving to AI before you buy or build.

Example agents

Agents with job descriptions, not chatbots

Each agent is brought on like a new hire: a defined role, the tools for the job, and access only to what the role permits.

Support Triage Agent

Classifies, routes, and drafts responses to requests in your ticket queue.

HUMANS: escalations & exceptions

Finance Operations Agent

Reconciliation and invoice checks, with approval gates on every payment.

HUMANS: approvals & disputes

HR Policy Agent

Answers policy and benefits questions, citing the source document.

HUMANS: sensitive cases

Data Agent

Writes and runs SQL, answers questions about your data in plain language.

HUMANS: interpretation & decisions

The roster is yours to define. Explore the Agent Framework →

Division of labor

Where we draw the line

Good for AI

  • Repetitive
  • Rule-based
  • High-volume
  • Data-rich
  • Easy to review
  • Reversible

Keep human-led

  • Ambiguous
  • High-stakes
  • Relationship-driven
  • Exception-heavy
  • Tacit knowledge
  • Irreversible

Scored task by task during discovery. See how we call the line →

Governed end to end

Built for the review you'll put it through

Human approval gates

Sensitive actions wait for sign-off, and the approver is part of the record.

Immutable audit trail

Every prompt, tool call, and data access recorded: who, what, when, on whose behalf.

Least-privilege access

Access rules come from your identity provider. Each agent sees only what its role allows.

Cost & token controls

Budgets, quotas, and alerts that fire before an overrun, not after the invoice.

Find the work worth giving to AI.

Get a ranked backlog of automation opportunities, including what not to automate. Delivered in one sprint, with a first-agent recommendation you can act on.

Start an AI Work Discovery Sprint