AI Optimization
Find the bottlenecks in your AI environment in less than a week.
PraxisIQ analyzes AI usage, costs, model selection, licenses, and operational patterns to identify where spend is leaking, performance is constrained, or adoption is not producing value.
Spend grows faster than the visibility around it.
AI adoption spreads across providers, teams, and workflows before anyone owns a consolidated view of what is being consumed and what it returns.
- 01
AI costs are rising faster than visibility
Consumption grows across tools and teams while reporting stays behind the actual usage. - 02
Multiple providers create fragmented reporting
Each provider reports in its own structure, so there is no single, comparable view of the estate. - 03
License utilization is unclear
Seats are assigned without a reliable read on who is active and who is not. - 04
Cost cannot be compared where decisions are made
Teams cannot compare cost by model, workflow, agent, user, or transaction. - 05
Optimization decisions lack business-value context
Reducing spend without a value view risks cutting the work that is actually producing returns. - 06
Historical usage is incomplete or hard to analyze
Past consumption is scattered, retained inconsistently, and difficult to trend.
Start with a rapid diagnostic.
A short, focused analysis run by PraxisIQ specialists with FuseIQ in place. It is not a multi-month program, and nothing beyond it is required. It maps to the Understand and Optimize stages of the operating loop.
- Establish the baseline
- A single current view of AI cost and usage across providers, teams, and tools.
- Identify avoidable spend
- Where capacity is provisioned but not producing work, and where operational bottlenecks sit.
- Review the patterns
- Model, token, license, and workflow patterns examined against actual demand.
- Prioritize opportunities
- Optimization opportunities ranked by effect, effort, and owner.
- Produce an executive action plan
- A leadership walkthrough of the baseline, the findings, and the decisions to make.
Continue only where the diagnostic justifies it.
Each of these is selected separately after the action plan. Pricing is based on the selected software, program, and delivery scope.
- Implementation support
- Execution of the prioritized changes with owners and an approval path in place.
- Usage and spend monitoring
- Continuous tracking of consumption and cost against the established baseline.
- Model and workflow optimization
- Ongoing tuning of model selection, prompts, scheduling, and workflow efficiency.
- Governance and budget controls
- Budget thresholds, approvals, and ownership applied to AI consumption.
- Ongoing managed optimization
- PraxisIQ runs the optimization cycle alongside your team on a continuing basis.
What FuseIQ makes visible.
The same views used during the diagnostic remain in place afterwards, so optimization stays an operating discipline rather than a one-time exercise.
- Usage and spend tracking
- Consumption and cost held together in one operating view.
- Budget monitoring
- Spend tracked against the budget owners have agreed to.
- Department and workflow reporting
- Reporting cut by the department and workflow consuming the capacity.
- Optimization recommendations
- Recommended changes surfaced as signals move, not only at review time.
- Adoption and value context
- Cost read alongside adoption and measured value so decisions stay balanced.
- Continuous performance improvement
- Each change is measured, and the result informs the next priority.
Examples of optimization opportunities.
These are the categories the diagnostic examines. What applies to your estate depends on what the baseline shows.
- Unused and duplicated licenses
- Seats assigned to people who are inactive, or overlapping tools covering the same work.
- Model selection by workload
- Workloads running on a heavier model than the task requires, or the reverse where quality suffers.
- Workflow and prompt efficiency
- Repeated calls, oversized context, and retries that consume capacity without improving output.
- Agent and job scheduling
- Automated runs firing more often than the business process needs.
- Provider and plan structure
- Consumption spread across plans and providers in a structure that no longer matches usage.
- Low-value initiatives
- Work that consumes capacity without an owner or a KPI attached to it in the portfolio.
What happens after the diagnostic.
The diagnostic ends with decisions, owners, and a live measurement view, not a report.
- 01
Decisions are made in the executive session
Leadership selects which recommendations to act on, in what order, and who owns each one. - 02
Changes are executed with governance in place
Each change carries an owner and an approval path so optimization does not slow adoption. - 03
Effect is measured against the baseline
The configured KPIs track what changed after the action, using the baseline established in the diagnostic. - 04
Optimization becomes continuous
Usage, spend, adoption, and value signals keep running in FuseIQ and feed the next round of priorities through the operating loop.
FuseIQ
See FuseIQ in action.
We will walk through the current AI estate, what a usage and spend baseline would cover, and the findings a rapid diagnostic would put in front of your leadership team.