The control plane for enterprise AI optimization.
KNOBS EKIP™ helps enterprises identify the high-impact knobs that control AI outcomes : data, prompts, models, features, policies, agents, tools, workflows and business rules : then evaluate, govern and continuously improve them.
Enterprise AI needs knobs, not just models.
Most AI programs focus on model selection. Real business outcomes depend on many controllable variables: what data is used, how prompts are written, which tools an agent can call, what policies apply, how risks are scored and how feedback is captured. EKIP turns those variables into governed enterprise knobs.
Discover high-impact knobs
Identify the small set of data, prompt, model, retrieval, workflow and policy levers that materially change accuracy, risk, cost and business value.
Evaluate with evidence
Run repeatable experiments across datasets, prompts, agents and workflows so teams can compare outcomes using measurable signals.
Govern every change
Track versions, approvals, constraints, ownership and audit trails so enterprise AI changes can move safely from experiment to production.
Optimize continuously
Use feedback loops, monitoring and scorecards to keep improving AI quality as markets, customers, products and regulations change.
Connect to business KPIs
Map technical evaluation metrics to business outcomes such as conversion, complaint risk, analyst productivity, compliance and revenue.
Scale across portfolios
Manage a portfolio of AI systems across domains including finance, compliance, customer calls, e-commerce, websites and operations.
EKIP architecture: from raw signals to governed intelligence.
EKIP organizes enterprise AI work into connected layers so teams can move from fragmented experiments to governed, reusable intelligence products.
Core EKIP modules.
Use EKIP as a complete operating system for enterprise AI, or adopt individual modules around your most urgent AI control problem.
Dataset Intelligence
Profile, score and curate datasets for training, retrieval, evaluation and monitoring. Understand coverage, freshness, bias, duplication and business relevance.
Knob Registry
Create a searchable catalog of controllable variables across prompts, features, retrieval, model settings, thresholds, workflows and guardrails.
Experiment Engine
Run controlled tests to compare knob combinations and determine which configurations improve quality, cost, latency, risk and conversion.
Governance Controls
Embed ownership, approval, policy, lifecycle and audit controls directly into the AI optimization process.
Portfolio Dashboard
Give executives a portfolio-level view of AI systems, business impact, risk exposure, evaluation status and optimization opportunities.
Agent Performance Loop
Continuously monitor agents and workflows, capture feedback, detect drift and push improved configurations back into production.
How EKIP works.
A practical workflow for turning AI experimentation into governed business improvement.
Map the AI system
Capture the data, prompts, models, tools, policies, users and business outcomes involved.
Identify knobs
Find the variables that can be tuned and connect them to measurable metrics.
Run experiments
Compare configurations across representative datasets and production-like scenarios.
Govern decisions
Approve, version and document changes before they affect customers or regulated workflows.
Improve continuously
Monitor outcomes, capture feedback and repeat the cycle as business conditions evolve.
Enterprise use cases.
EKIP can sit above many DataKnobs and customer intelligence products as the common optimization and governance layer.
Connected EKIP page series.
This overview page connects the complete EKIP story : from data intelligence and governance to consumption, operating system, blueprint and executive dashboard.
EKIP Knobs Overview
Defines the control knobs that shape AI outcomes across enterprise systems.
Slide 4AI Value Chain
Connects raw data, signals, models, agents and business outcomes.
Slide 5Dataset Intelligence
Explains dataset quality, coverage, scoring, curation and reuse.
Slide 6Embedded Governance
Shows how policy, approval and audit controls are built into AI operations.
Slide 7Portfolio Intelligence
Frames EKIP as a portfolio control plane across many AI products.
Slide 9Consumption Layer
Turns governed intelligence into dashboards, APIs, apps and agents.
Slide 10AI Operating System
Positions EKIP as the operating system for enterprise AI lifecycle management.
Slide 11Enterprise Blueprint
Provides a blueprint for enterprise rollout, ownership and operating model.
Slide 12Executive Dashboard
Summarizes AI value, risk, quality and optimization for leadership teams.
Make enterprise AI measurable, tunable and governable.
Use EKIP to move from disconnected AI experiments to a controlled optimization system where every improvement is measured, governed and connected to business value.