Opportunity unclear
Find the opportunity worth funding
Sort promising ideas from expensive distractions before teams commit budget, attention, or political capital.
Explore the AI Opportunity & Value SprintAI value creation and implementation partner
Turn AI into measurable operating value.
H2H helps mid-market and enterprise organizations identify where AI can improve important work, redesign the workflow, implement the right AI or automation, build in the controls it needs, and measure whether it worked.
What brings you here?
Start with the decision you need to make.
You do not need to enter through the same engagement. Choose the path that matches what is already clear.
Need already defined
Change a workflow outcome
Fix a workflow that is too slow, too manual, too risky, or too hard to scale by redesigning the work and the supporting technology together.
Explore workflow transformationNeed already defined
Build a new AI product or capability
Define the user job, the product boundary, the AI behavior, and the review path before the first governed release gets built.
Explore AI-native product developmentNeed already defined
Control production AI
Put policy, approvals, visibility, and traceability around AI users or agents before they touch sensitive data or consequential tools.
Explore AI governance and securityObservable outcomes
Measure the work, not the AI activity.
H2H establishes the current state and target before choosing a technology path. These qualitative examples show how the method can frame different operating problems; they are not customer results.
Illustrative Use Case
Financial services
A review-intensive workflow limits capacity and creates an avoidable service backlog.
Target
Increase case capacity while maintaining required quality, approval, and exception thresholds.
Cost per caseCases per reviewer
Illustrative Use Case
Healthcare
Fragmented preparation and routing cause delays in an administrative service workflow.
Target
Shorten end-to-end cycle time without weakening privacy, quality, or required clinical and administrative review.
End-to-end cycle timeManual effort
Illustrative Use Case
SaaS and software
Engineering work slows across issue preparation, review, testing, release evidence, and handoffs.
Target
Improve delivery throughput while maintaining code quality, security review, and release controls.
Lead time for changeReview time
H2H and Tutela
Services implement the workflow. Tutela governs the risky moment.
H2H helps you figure out what AI should change, build the working path, and prove what the pilot produced. Tutela by H2H is used when the workflow needs runtime policy, approvals, data or agent boundaries, visibility, or customer-managed control.
H2H services lane
We help you figure out exactly what AI your customer needs, build the working path, and show what the pilot produced.
workflow requires controls
Tutela product lane
Tutela sits at the risky moment: when an AI user or agent touches sensitive data, asks for approval, or tries to act.
Concrete example
Picture the work in a support workflow.
This is an illustrative composite example, not customer work or a promised result. It shows the kind of practical artifact a buyer can discuss internally after a first H2H engagement.
Current pain
Support work is split across email, chat, knowledge systems, and case tools. Operators spend time searching, routing, drafting, and escalating instead of resolving.
Search work
Handoffs
Escalations
H2H intervention
Redesign intake, context gathering, AI-assisted drafting, approval, routing, and feedback as one operating workflow.
Workflow map
Review model
Integration path
Evidence produced
Compare the agreed baseline with observed response time, resolution time, rework, exception behavior, and trace completeness.
Baseline
Observed result
Trace fields