The whole enterprise, running
as of Monday, 7:00 a.m.
How BlueHour binds AI, IT and Human Intelligence into one governable system, and proves the value in dollars before asking for the next step.
This demonstration follows Castle Pines Mutual, a fictional Mid-Market Enterprise.
Outcomes run in both directions. Good outcomes happen, and so do bad ones.
BlueHour does not promise that nothing goes wrong. It promises that every outcome, good or bad, is governed: known early, owned by a named person, and told truthfully.
Signing in shows you what your Micro Operating Models found, and what is waiting on a human decision.
| COST DRIVER | OWNER | CAPABILITY | ANNUAL COST | RETURN | PROPOSED VERDICT |
|---|---|---|---|---|---|
| Legacy claims platform | COO, Claims | Claims processing | $2.4M | −6% | SELL |
| Unowned SaaS subscriptions (14) | Unassigned | None identified | $1.9M | n/a | SELL |
| Duplicate BI licences | VP Analytics | Reporting | $1.2M | 2% | SELL |
| Idle reserved GPU capacity | Head of Platform | AI workloads | $0.9M | 4% | HOLD |
| Customer-service agent tokens | VP Service | Customer support | $3.6M | 31% | BUY |
| Enterprise data warehouse | Chief Data Officer | Analytics | $4.8M | 18% | BUY |
| Document AI pilot | Chief Data Officer | Underwriting | $0.4M | n/a | HOLD |
| CRM platform | Chief Revenue Officer | Sales | $5.2M | 22% | BUY |
| COST DRIVER | COST | SCORE | ACQUISITION ECONOMICS | REFINED VERDICT |
|---|---|---|---|---|
| Legacy claims platform | $2.4M | SELL | Perpetual licence plus annual maintenance, on premises | After all six lenses |
| Unowned SaaS subscriptions (14) | $1.9M | SELL | 14 subscriptions bought on cards and expense claims | After all six lenses |
| Duplicate BI licences | $1.2M | SELL | Two per-seat enterprise agreements | After all six lenses |
| Idle reserved GPU capacity | $0.9M | HOLD | 3-year reserved commitment | After all six lenses |
| Customer-service agent tokens | $3.6M | BUY | On demand, billed per token | After all six lenses |
| Enterprise data warehouse | $4.8M | BUY | 1-year reserved capacity | After all six lenses |
| Document AI pilot | $0.4M | HOLD | Pilot credits; no production price yet | After all six lenses |
| CRM platform | $5.2M | BUY | 3-year subscription, per seat | After all six lenses |
| COST DRIVER | COST | SCORE | CONSUMPTION ECONOMICS | REFINED VERDICT |
|---|---|---|---|---|
| Legacy claims platform | $2.4M | SELL | 41% of licensed claim volume in use | After all six lenses |
| Unowned SaaS subscriptions (14) | $1.9M | SELL | 22% of seats active in the last 90 days | After all six lenses |
| Duplicate BI licences | $1.2M | SELL | 35% of users hold both tools | After all six lenses |
| Idle reserved GPU capacity | $0.9M | HOLD | 34% utilized | After all six lenses |
| Customer-service agent tokens | $3.6M | BUY | Steady base, growing about 8% a month | After all six lenses |
| Enterprise data warehouse | $4.8M | BUY | 92% of the reservation used; growing 25% a year | After all six lenses |
| Document AI pilot | $0.4M | HOLD | About 1,200 documents a week | After all six lenses |
| CRM platform | $5.2M | BUY | 3,100 of 4,000 seats active (78%) | After all six lenses |
| COST DRIVER | COST | SCORE | UNIT ECONOMICS | REFINED VERDICT |
|---|---|---|---|---|
| Legacy claims platform | $2.4M | SELL | $38 per claim, against $14 on the modern claims service | After all six lenses |
| Unowned SaaS subscriptions (14) | $1.9M | SELL | $1,180 a year per active user | After all six lenses |
| Duplicate BI licences | $1.2M | SELL | $2,100 a year per dual-licensed user | After all six lenses |
| Idle reserved GPU capacity | $0.9M | HOLD | $6.20 per GPU-hour actually used, against $2.10 on demand | After all six lenses |
| Customer-service agent tokens | $3.6M | BUY | $0.42 per resolved customer case | After all six lenses |
| Enterprise data warehouse | $4.8M | BUY | $0.08 per analytics query, down 12% this year | After all six lenses |
| Document AI pilot | $0.4M | HOLD | $0.90 per document, against $2.60 processed by hand | After all six lenses |
| CRM platform | $5.2M | BUY | $1,300 per seat; $1,680 per active seat | After all six lenses |
| COST DRIVER | COST | SCORE | CONTRACT ECONOMICS | REFINED VERDICT |
|---|---|---|---|---|
| Legacy claims platform | $2.4M | SELL | Maintenance renews in 5 months; no exit cost | After all six lenses |
| Unowned SaaS subscriptions (14) | $1.9M | SELL | 9 of the 14 auto-renew within 90 days | After all six lenses |
| Duplicate BI licences | $1.2M | SELL | True-down allowed at the anniversary in 3 months; earlier exit costs $0.3M | After all six lenses |
| Idle reserved GPU capacity | $0.9M | HOLD | 20 months remain; resale allowed under provider terms | After all six lenses |
| Customer-service agent tokens | $3.6M | BUY | No commitment; prices can change on 30 days' notice | After all six lenses |
| Enterprise data warehouse | $4.8M | BUY | Renews in 6 months | After all six lenses |
| Document AI pilot | $0.4M | HOLD | Pilot ends in 2 months; production terms not negotiated | After all six lenses |
| CRM platform | $5.2M | BUY | Renews in 4 months; seats can be reduced only at renewal | After all six lenses |
| COST DRIVER | COST | SCORE | SCENARIO ECONOMICS | REFINED VERDICT |
|---|---|---|---|---|
| Legacy claims platform | $2.4M | SELL | Volume keeps shifting to digital intake; the gap widens each year | After all six lenses |
| Unowned SaaS subscriptions (14) | $1.9M | SELL | No capability depends on them under growth or contraction | After all six lenses |
| Duplicate BI licences | $1.2M | SELL | One tool covers growth on its own | After all six lenses |
| Idle reserved GPU capacity | $0.9M | HOLD | A newer GPU generation arrives within the term | After all six lenses |
| Customer-service agent tokens | $3.6M | BUY | At +25% demand, the on-demand bill reaches $4.5M | After all six lenses |
| Enterprise data warehouse | $4.8M | BUY | At current growth the reservation runs out in about 4 months | After all six lenses |
| Document AI pilot | $0.4M | HOLD | At production volume, unit price matters more than pilot cost | After all six lenses |
| CRM platform | $5.2M | BUY | At −20% headcount, unused seats rise to 1,500 | After all six lenses |
| COST DRIVER | COST | SCORE | MARK-TO-MARKET ECONOMICS | REFINED VERDICT |
|---|---|---|---|---|
| Legacy claims platform | $2.4M | SELL | A SaaS claims module is quoted at $1.1M a year at current volume | SELLConfirmed. Retire at maintenance renewal. |
| Unowned SaaS subscriptions (14) | $1.9M | SELL | Not applicable; nothing to replace | SELLConfirmed. Cancel before notice dates. |
| Duplicate BI licences | $1.2M | SELL | Keep the tool with higher use; its price is unchanged | SELLConfirmed. Release at the anniversary. |
| Idle reserved GPU capacity | $0.9M | HOLD | Today's 1-year rate is 30% below the committed rate | SELLWas HOLD. Release and resell; 1-year terms only. |
| Customer-service agent tokens | $3.6M | BUY | A 1-year commitment is ~25% lower; a smaller model handles routine intents for ~60% less | BUYConfirmed. Commit the base; route routine work. |
| Enterprise data warehouse | $4.8M | BUY | A 3-year rate is about 20% below 1-year for the stable base | BUYConfirmed. Expand the reservation at renewal. |
| Document AI pilot | $0.4M | HOLD | Two providers offer comparable consumption pricing | HOLDConfirmed. No prepay until volume is proven. |
| CRM platform | $5.2M | BUY | Same product, same price per seat; the gap is volume | BUYConfirmed. Keep it; cut 800 seats at renewal. |
| PROCESS | TOLERANCE | OBSERVE | HALT | RESTORE | RESULT |
|---|---|---|---|---|---|
| Internal document workflow | 4 h | 2 h 10 m | 35 m | 3 h | Within tolerance |
| Customer-service agents | 1 h | 50 m | 20 m | 2 h 40 m | Restore exceeds tolerance |
| Payment release | 10 m | Not observed | n/a | n/a | Not detected by our monitoring |
Into Capital Discipline. Losing the ability to observe, halt or restore can justify a HOLD before the economics would.
| ROLE | WORK AGENTS NOW HANDLE | CAPACITY RELEASED | HIGHER-VALUE WORK OPENED | STATUS |
|---|---|---|---|---|
Claims intake specialists 40 people |
Document intake and triage | 45% | Complex claims adjudication | Upboarded |
Accounts payable analysts 24 people |
Invoice matching and first-pass exceptions | 38% | Vendor terms and exception root causes | In progress |
Service desk, first line 60 people |
Routine tickets and account resets | 52% | Agent supervision and escalation quality | Plan approved |
Financial planning analysts 12 people |
Data gathering and variance tables | 30% | Scenario modelling and capital review | Not yet redeployed |
The discipline behind MOM-001 was built at Forsythe Technology and productized as KillerIT, the division BlueHour's founder founded and led, before there were agents to run it.
The application portfolio was scored BUY-HOLD-SELL against return on invested capital. Cost that had stopped earning was decommissioned to the root, and capital was redeployed to the assets worth funding. Each asset was scored on business metrics, its cost against the value of its functionality, competitiveness, uniqueness and user base, and on technology metrics, alignment, audit compliance, stability, quality and complexity, resolving to BUY to invest, HOLD to sustain, or SELL to retire or migrate. The same discipline was applied across financial-services and healthcare enterprises from $1B to $70B in revenue.
Then, it was done with spreadsheets and human judgment, which was enough for a static estate. Now, consumption-priced tokens and agents that spawn agents move too fast for that, so MOM-001 runs the same discipline continuously, with agents.
No BlueHour client has completed MOM-001 yet. We built the model before we sold it.
Start with oneMOM-001, Capital Discipline, is activated rather than implemented. No project team, no discovery phase, no report at the end, because it does not end: we operate it and it scores your portfolio every week. From your side it needs three standing roles, not a staffed programme. Your first verdict lands in about six weeks, and the money follows on contract dates.
Slowing the labs down does not slow what is accumulating inside your company. The first model carries no obligation to build the second.