WorkspaceMission control
DEMO SNAPSHOT · 26 OCT 2026
GP
COMMAND CENTRE / OVERVIEW

Mission control .

AI decisions, financial intelligence and autonomous operations — at a glance.

SIMULATED DATA
Updated just now
INTRODUCING MODELSPEND PARIROUTESame task capability. Lower execution cost.PariRoute finds a qualified SpendTwin for each eligible request. ParityGain makes the potential savings visible.
Interactive prototype. All metrics, organisations, providers, jobs and alerts are illustrative. No live services or billing data are connected.
Total AI spend · MTD
£9,486.40
↓ 8.2%vs comparable prior period
Requests processed · MTD
248,690
↑ 12.4%vs comparable prior period
ParityGain · savings MTD
£2,164.70
18.6%avoided cost against baseline
Policy compliance
99.2%
● Healthyacross all active routes
MODELSPEND PARIROUTE · CAPABILITY-FIRST ROUTING

The model they want. The price they deserve.

PariRoute evaluates the model a customer requested against cheaper alternatives. Only a task-qualified SpendTwin can be substituted; model locks, exclusions and governance policies are honoured. The difference becomes measurable ParityGain.

Task-specific capability gate Customer controls honoured Synthetic demo
PROJECTED PARITYGAIN / MONTH£2,58076.1% less model cost in this cohort
4 eligible workload substitutions
01 / DECISION ENGINE
PariRoute™
Finds a qualifying, lower-cost execution route.
02 / QUALIFIED MATCH
SpendTwin™
A cheaper model that clears this task's capability and policy gates.
03 / FINANCIAL OUTCOME
ParityGain™
The estimated avoided cost of an approved substitution.
12-MONTH AVOIDED COST£34,600Volume-growth scenario · illustrative
REQUESTED-MODEL BASELINE / MONTH£3,391What unchanged model requests would cost
OPTIMISED COST / MONTH£811After eligible substitutions and adoption
CAPABILITY GATENo downgradeRetain the requested model if parity fails
THE PARITYGAIN VIEW

Make the invisible saving visible.

Compare the original model spend with PariRoute's eligible substitutes.

SIMULATED ECONOMICS
Requested models · original cost£3,391 / mo
PariRoute · optimised cost£811 / mo
PARITYGAIN · AVOIDED MODEL COST£2,580 / month
−76.1%

12-month ParityGain trajectory

Monthly projected avoided cost with scenario growth applied

£34.6k cumulative
MONTH 1MONTH 6MONTH 12
PARIROUTE WHAT-IF CONTROLS

Shape the business case.

Adjust assumptions and watch the economics recalculate.

100%

Share of eligible requests allowed to use the SpendTwin.

0% · Observe only100% · Full adoption
100%

Scale monthly usage across the example workload cohort.

50% usage200% usage
2%

Applied to the 12-month ParityGain trajectory; prices held constant.

Flat demand10% monthly
Disabling a workload below simulates a customer model lock. Its original-model spend remains in the baseline; ParityGain becomes zero for that workload.
SPENDTWIN MATCHES · TASK-AWARE MODEL SUBSTITUTION

Where every pound of ParityGain comes from.

Explore four example SpendTwin matches. Lock any original model to remove its saving from the forecast, or inspect the PariRoute decision trace.

4 ROUTES ENABLED
No qualifying SpendTwin? Keep the requested model.

Contract analysis: cheaper candidates fall short of the requested model’s simulated task fit. Independent reviews: explicit model locks apply. Governance denials: no model executes. Provider outage: an acceptable fallback may cost more, and is never counted as ParityGain.

Important: All requests, scores, unit prices, volumes and projections are invented for this interactive demonstration. Task-fit parity is a mock gate, not validated equivalent real-world model performance. The controls make no live API calls or routing changes. Production decisions require benchmark evidence, policy constraints, current contract pricing, monitoring and rollback.
PARIROUTE DECISION INTELLIGENCE

Every request. A defensible decision.

Understand which SpendTwin qualified, what ParityGain it produced, or why the original model was retained.

EXPLORER READY
248.7kDecisions evaluated · MTD
99.2%Within active policy
1,990Illustrative gated requests
4Routing destinations
TRACE INSPECTOR

Loading decision…

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DECISION JOURNEY—

Candidate model evaluation

Simulated capability, cost, latency and policy eligibility at the moment of routing.

Cost versus suitabilitySynthetic scores
Approved destination Alternative
EXPLAINABILITY

Why this decision?

COUNTERFACTUAL LAB

What if we chose differently?

Resilience simulatorRemove a provider and inspect the permitted fallback.
Illustrative benchmark scores and prices are synthetic. Route comparisons are demonstrations, not measured provider performance or validated compliance decisions.
SPEND INTELLIGENCE

Spend trajectory

Actual expenditure and request volume over time

£9,486.40October month-to-date
Actual spendRequests (scaled)
Forecast based on recent run rate1–26 October
PREDICTIVE FINANCE

October forecast

Projected end-of-month expenditure

£11,720
£780 under budget91% confidence · illustrative
£0 spentBudget £12,500
Forecast scenario

Change projected remaining demand

Base case
−40%Current+60%
At the current run rate, your budget has healthy headroom.
DECISION ENGINE

Intelligent model routing

Simulated distribution of AI requests

POLICY ACTIVE
286requests / min
Balanced routing is reducing unnecessary cost

Lower-cost models handle routine work while complex tasks use higher-capability models.

AUTONOMOUS OPERATIONS

Agent activity

Current execution across your workflows

3 active
GOVERNANCE & RISK

Alerts requiring attention 3

Illustrative recommendations and threshold events

Acknowledging an alert only changes this local demo.
PROVIDER MIX

Spend by provider

Share of October spend

TOTAL SPEND£9.5k
Routing keeps premium models available for high-value tasks.