A proposed approach
A practical direction based on the problem you describe.
Jochanni Labs
Business Improvement as a Service
For business owners with an expensive operating problem who don’t want to become AI experts or fund an open-ended technology project.
Jochanni Labs establishes the cause, implements the appropriate improvement, and measures its effect. Your business retains the working improvement and the ability to operate it.
Would a complimentary action plan addressing a current operating or cash flow challenge be useful to you?
You can keep and use the plan without purchasing anything.
Your investment should produce a measurable business return.
Faster execution alone does not establish a financial return. The change must address the actual problem and produce enough value to justify its implementation and operating costs.
Jochanni Labs connects investigation, implementation, and measurement so you can assess what changed, what it costs, and whether it benefits your business.
A practical starting point for the problem you identify.
Your complimentary action plan outlines a proposed improvement, the steps involved, and the evidence needed to decide what to do next.
The plan distinguishes what you have told us from what still needs validation. You receive something useful before purchasing an implementation engagement.
Steps to take
The actions and information needed to move the work forward.
Checks before spending
The assumptions, costs, and operating requirements that need confirmation.
Where we start
Start with what is costing your business.
Lost sales opportunities
Investigate where qualified opportunities stall and implement the appropriate improvement.
Delayed collections
Establish what prevents timely payment and improve the collection process.
Costly repetitive work
Examine recurring work and implement changes that reduce spending or create capacity for additional profitable work.
How we work
How Business Improvement as a Service works.
The complimentary plan provides a starting point. An implementation engagement carries the agreed work through investigation, delivery, measurement, and handover.
Investigate
Review actual work and available evidence. Establish the baseline, supported cause, and unresolved questions.
Agree
Define the proposed improvement, financial case, implementation scope, responsibilities, and acceptance criteria.
Implement and measure
Build or configure the approved change, test normal operation and exceptions, and measure its effect.
Hand over
Provide the access, documentation, and training your business needs to operate and sustain the improvement.
Evidence supports the findings. Approval controls the work.
AI can produce unsupported answers and lose sight of the original objective. Jochanni Labs checks findings against evidence, confirms requirements before implementation, and tests the agreed process before release.
Your business retains authority over commercial decisions and consequential actions. Changes outside the approved scope require authorization.
The working improvement stays with your business.
Your business retains its records, accounts, and operating access. Documentation and training are included in the handover. Continuing software costs and third-party dependencies are disclosed before implementation.
Additional improvements and ongoing support are separately agreed.
Supporting capabilities
Where an improvement involves AI, these capabilities support its delivery.
AI Adoption
Establish where AI can make a worthwhile difference.
Identify the business problem, examine how the work happens today, and determine whether AI is an appropriate response.
Define the baseline, expected benefit, practical constraints, and evidence required before advancing.
AI Transformation
Change the process to improve the result.
Examine the complete workflow, including handoffs, exceptions, delays, and decisions. Determine what should change before selecting which parts AI should perform.
Account for the systems people already use, the work that remains with them, and the resources required to operate the solution.
AI Governance
Define who owns the operation and its consequences.
Establish responsibilities, approved uses, data boundaries, evaluation requirements, exception handling, and ongoing oversight.
Governance must address what happens after deployment, including performance changes, operating costs, failures, and changes in ownership.
Decision Governance
Control whether a consequential AI action may proceed.
An agent’s access to a system does not establish authority to execute every action it can reach.
Decision Governance defines who may authorize an action, what evidence is required, when review or escalation applies, and how the downstream system verifies authority before execution.
DAL-X
No Authority, No Execution.
DAL-X is Jochanni Labs’ Decision Authority Layer for consequential AI agent executions.
Its enforcement approach requires valid authority to be recorded and verified before a protected downstream action proceeds. Authority is tied to the specific execution, with a record of the decision and its outcome.
DAL-X is being redesigned. Explore the enforcement approach and contact us about its current scope and availability.
Research grounded in what happens.
Our Decision Governance publications examine consequential AI incidents, the evidence available, and the controls relevant to the proposed execution.
The work distinguishes documented facts, supported findings, and unresolved questions.
Request your complimentary action plan.
What is costing your business money or preventing more profitable work? Describe the problem in one or two sentences. Jochanni Labs will review it and prepare your plan.