4 Core Intelligence Engines
The processing backbone powering every AI tool and agent on the OIS platform.
SCOPE ENGINE
Reads complexity. Sizes crews. Sets timelines.
The Scope Engine is the intake layer of the entire platform. It analyzes incoming project details — property type, room or unit count, scope selections, and geographic factors — and translates raw data into structured intelligence that every downstream engine and agent can consume.
By cross-referencing historical project data with current inputs, the engine produces statistically calibrated complexity scores that reflect real-world variation in hospitality, multifamily, and office interior projects. A 200-room Marriott full renovation is treated fundamentally differently than a 40-unit multifamily cabinet replace.
Its output feeds directly into crew sizing models, schedule duration windows, and phase sequencing logic — ensuring that every estimate, safety plan, and logistics model starts from an accurate scope baseline rather than a manual guess.
Inputs
- Project type (Hotel, Multifamily, Office)
- Room or unit count
- Selected scopes (FF&E, glass, millwork, etc.)
- Floor plate and building configuration
- Schedule constraints and phasing preferences
Outputs
- Crew size range (min/optimal/surge)
- Duration estimates by phase
- Complexity score (1–10 scale)
- Scope dependency map
- Phase sequencing recommendation
SAFETY ENGINE
Hazard mapping. OSHA references. Automatic JSAs.
The Safety Engine processes task and hazard scenarios against a comprehensive, continuously updated knowledge base spanning OSHA standards, hospitality construction best practices, and interior trade-specific risk data. It transforms open-ended field conditions into structured, actionable safety documentation.
Rather than relying on generic templates, the engine contextualizes risk to the actual work being performed. Installing glass shower enclosures in an occupied hotel floor triggers a different risk profile than setting millwork in a vacant multifamily unit — and the engine knows the difference.
Every output is traceable to a specific OSHA CFR reference or industry standard, giving safety directors and GC compliance teams the audit trail they need for incident prevention and regulatory review.
Inputs
- Task or work type description
- Hazard scenario or site condition
- Trade category (glass, millwork, FF&E, etc.)
- Occupancy status (occupied vs. vacant)
- Prior incident or near-miss notes
Outputs
- JSA workflow (step-by-step hazard analysis)
- Applicable OSHA CFR references
- Toolbox talk topic recommendations
- Compliance checklist by task
- PPE requirements list
ESTIMATION ENGINE
Labor hours. Material budgets. Market-calibrated ranges.
The Estimation Engine translates scope complexity into accurate cost intelligence. It takes the structured output of the Scope Engine — crew sizes, phase durations, and complexity scores — and applies location-adjusted labor rates, current material cost bands, and mobilization factors to produce calibrated budget ranges.
Unlike generic construction cost databases, this engine is built specifically for interior installation work in hospitality, multifamily, and office environments. It accounts for factors unique to these fields: occupied-floor logistics, union vs. non-union labor markets, FF&E sequencing premiums, and regional cost variation across the 25+ states OIS serves.
Outputs are expressed as ranges rather than single point estimates, reflecting real-world bid variability. The engine also flags budget drivers — line items where cost concentration is highest — so GCs and owners can focus value-engineering efforts where they matter most.
Inputs
- Scope breakdown from Scope Engine
- Project location (state/metro)
- Crew size and composition
- Target schedule duration
- Material specification tier (base/mid/premium)
Outputs
- Cost range (low/mid/high) by scope
- Labor hour estimates by trade
- Material budget by category
- Mobilization and per diem allowance
- Top budget driver flags
LOGISTICS ENGINE
Room sequencing. Vendor coordination. Delivery tracking.
The Logistics Engine governs the operational layer of interior installation projects. It manages the complex sequencing problem at the heart of hospitality renovation: how to maximize room throughput, minimize re-entry, and coordinate multiple trades across a live property without disrupting operations.
Using constraint-based scheduling algorithms, the engine produces optimized room sequencing plans that account for FF&E delivery windows, trade availability, property buffer requirements, and punch-close targets. It can model both phased renovation (floors released sequentially) and scattered-room approaches common in branded flag renovations.
The engine also tracks vendor coordination touchpoints — furniture deliveries, appliance staging, specialty installs — and generates daily operational summaries that field supervisors can use to run tight, accountable job sites.
Inputs
- Room or unit inventory with current status
- Phase release schedule from property
- FF&E delivery confirmation windows
- Trade crew availability by day
- Punch list backlog by room
Outputs
- Optimized room sequencing plan
- Daily crew deployment schedule
- Vendor coordination checklist
- Delivery staging requirements
- Punch list generation by scope
BeehiveEngine — Colony Network
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