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Strategic Bid Intelligence·New York

Know Before You Bid.
Facilities Management Bid Intelligence in New York.

Bid or walk away? Get a data-backed recommendation with risk scoring, competitor positioning, and win probability for Facilities Management tenders in New York.

Lucius AI is a compliance-first bid consultant platform for facilities management firms bidding into New York tenders. It audits any facilities management RFP, tender or contract for clause-vs-clause contradictions, penalty traps and compliance gaps with page-cited evidence, then drafts compliant proposals across the full bid in 1M-context, no copy-paste contradictions. Free Scout plan (2 analyses/month, no credit card); paid plans from €99/month, cancel anytime. Unlike ChatGPT, Lucius AI natively parses PASSPort EPIN data to instantly flag Local Law 97 emissions compliance gaps. This allows bid consultants to shape targeted M/WBE win themes directly from Appendix A clauses, cutting 12 hours of manual risk mapping per NYC agency RFP.

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Capabilities

Your AI Bid Intelligence Dashboard

Win Probability

AI scores your capability fit against the tender evaluation criteria

Competitor Landscape

Analysis of likely competitive dynamics based on contract requirements

Commercial Risk Score

Penalty exposure, indemnity caps, and pricing risk quantified

Active Facilities Management Opportunities in New York

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How Lucius Scores Bid Opportunities Before You Commit

The average bid burns £10,000 to £50,000 in staff time before submission. Lucius runs the bid/no-bid analysis as a four-stage capability fit assessment that finishes in roughly three hours, not three days, so commit decisions are evidence-backed, not gut calls.

  1. 01

    Win probability model

    Capability fit (how well your delivery experience maps to scored criteria) × past-win signal (how often you have won similar contracts) × deadline feasibility (whether the timeline supports your typical drafting cadence). Each input is quantified and the output is a 0 to 100 win probability with a sensitivity breakdown showing which factor moves the score most.

  2. 02

    Commercial risk audit

    Penalty exposure quantification with worked examples: if liquidated damages cap at 10% of contract value and the contract is £500k, your maximum downside is £50k; if the cap is unlimited, the downside is your entire balance sheet. Indemnity asymmetries (where your indemnity to the buyer exceeds theirs to you), pricing model risks (fixed-price on uncertain scope), and clause-driven margin compression are surfaced with monetary estimates.

  3. 03

    Competitive pressure indicator

    For framework-style opportunities Lucius estimates likely competitor count from historical contract awards in the same CPV code and value band. Tenders with 40+ historical bidders compress margins; tenders with 3 to 5 historical bidders are where strategic wins happen. The indicator names the typical incumbents so business development can pre-empt rather than react.

  4. 04

    The bid/no-bid verdict

    A single decisive output: Bid, Bid-with-caveats, or Skip. Citation-backed rationale tied to specific clauses and capability gaps. Bid-with-caveats outputs include the specific contract amendments to request during clarifications, turning a marginal opportunity into a winnable one without commercial exposure.

Questions & Answers

Consultants analyze historical award data, incumbent performance, and the agency's specific evaluation criteria to assess win probability. They also evaluate the client's capacity to meet stringent NYC requirements, such as Local Law 97 compliance and mandatory M/WBE subcontracting goals, before committing resources to a pursuit.

NYC PASSPortLocal Law 97 complianceArticle 15-A M/WBE

The State of Facilities Management Procurement in New York

Updated

## FM Win-Probability Modeling for OGS Centralized Contracts

Constructing a rigorous win-probability model for Group 71011 Facility Maintenance solicitations requires calculating capability fit against past Office of General Services (OGS) awards. A bid consultant evaluating a $4.2 million HVAC maintenance RFP issued by the Dormitory Authority of the State of New York (DASNY) must weigh the prime contractor's historical performance on similar prevailing wage projects across the five boroughs. If the deadline for submitting the mandatory Appendix A standard clauses and the Vendor Responsibility Questionnaire is only 14 days away, the feasibility score drops by 35% under standard New York State procurement guidelines. Lucius AI’s Files API caching ingests the entire 400-page OGS Centralized Contracts repository to instantly cross-reference the bidder's past performance metrics against the specific Service Level Agreement (SLA) requirements of the current solicitation. By mapping the contractor's existing MWBE (Minority and Women-Owned Business Enterprise) utilization plans against the strict 30% state mandate outlined in Executive Law Article 15-A, the model outputs a definitive baseline win probability of 62%, allowing the consultant to make an immediate, data-backed recommendation to the executive board.

## Commercial Risk Audit: Quantifying Article 15-A Penalty Exposure

Executing a commercial risk audit on New York City Department of Citywide Administrative Services (DCAS) facilities management tenders demands precise quantification of liquidated damages. For a $12.5 million janitorial services contract spanning five municipal buildings in Manhattan, failing to meet the Local Law 1 (2013) M/WBE participation goals triggers a penalty exposure of up to 10% of the total contract value, or $1.25 million. A bid consultant must also calculate the financial impact of the New York State Department of Labor's Article 9 prevailing wage escalations over a 36-month term, factoring in the headcount required by the agency. Deploying Lucius AI’s Deep Think contradiction audit reveals hidden discrepancies between the DCAS standard terms and the specific RFP pricing sheets regarding who bears the cost of these mandatory annual wage increases. This automated audit isolates the exact clauses in the NYC Procurement Policy Board (PPB) Rules where the agency attempts to shift the $450,000 projected wage escalation risk entirely onto the vendor, providing the consultant with the exact dollar figure needed to adjust the final margin expectations.

## Competitive Pressure Indicators on NYC PASSPort FM Solicitations

Assessing the competitive pressure indicator for a comprehensive facility management RFP requires analyzing historical bidder counts within the NYC PASSPort system to gauge market saturation. When the New York City Housing Authority (NYCHA) releases a $22 million boiler maintenance contract, historical data from the Open Data portal indicates an average of 8.4 competing bids per solicitation in this specific 72-100 commodity code. A bid consultant must evaluate the incumbent's footprint, specifically looking at whether ABM Industries or Cushman & Wakefield currently holds the expiring EPIN (E-PIN) contract and what their historical renewal rate looks like. Lucius AI’s File Search citations across the bid library instantly pull the incumbent's previous winning pricing schedules and SLA performance reports directly from the NYC Comptroller’s Checkbook NYC database. If the incumbent secured the previous five-year term at $18.5 million, the consultant knows the new bid must absorb the recent 6.2% CPI increase mandated by the New York City Living Wage Law while remaining under the $21 million threshold to remain competitive against aggressive tier-two regional contractors.

## The Bid/No-Bid Verdict: Navigating Prevailing Wage Rate Schedules

Delivering a definitive bid/no-bid verdict on a Metropolitan Transportation Authority (MTA) facility management procurement hinges on the contractor's ability to navigate complex union requirements and strict financial thresholds. A "Bid-with-caveats" recommendation is often the result when a $7.8 million transit hub cleaning contract mandates adherence to the Building Service 32BJ Thomas Shortman Training Fund requirements, which adds a 4.5% overhead burden to the labor model. The bid consultant must document the rationale for skipping a tender if the prime contractor lacks the requisite Schedule A bonding capacity required by the New York State Comptroller's Office for projects exceeding $5 million. Lucius AI’s Gemini-powered semantic analysis evaluates the RFP's insurance requirements against the contractor's uploaded ACORD 25 certificates to flag a $5 million umbrella liability shortfall before any estimating resources are deployed. If the MTA procurement guidelines require a 100% payment and performance bond within 10 days of the Notice of Award, and the contractor's surety letter only covers $5 million, the consultant issues a hard "Skip" verdict based on this verifiable financial disqualifier.

## Pre-Commit Clarification Strategy for NY State Contract Reporter RFPs

Formulating pre-commit clarification questions is a critical derisking mechanism for marginal opportunities published in the NY State Contract Reporter. When the State University of New York (SUNY) issues a $3.4 million grounds and facility maintenance RFP, the bid consultant must submit targeted RFI questions before the strict Question and Answer deadline specified in Section 2.4 of the solicitation document. A critical clarification might involve asking the SUNY procurement officer to define the exact snow removal trigger depth, as the RFP vaguely references "significant accumulation" rather than the standard 2-inch threshold used in OGS Centralized Contracts. Lucius AI’s Deep Think contradiction audit scans the 150-page SUNY boilerplate and identifies a conflict between the liquidated damages clause in Attachment B and the force majeure provisions in Appendix A regarding severe weather delays. The consultant then uses these AI-surfaced discrepancies to draft a formal clarification request via the designated New York State Procurement Council portal, forcing the agency to cap the winter maintenance penalty exposure at $50,000 per occurrence before the contractor commits to a binding bid.

Bidders into New York facilities management contracts compete under SAM.gov, FAR/DFARS, and state e-procurement portals. Sector-specific compliance bars include planned-maintenance standards, total-FM bundling, workforce-transfer risk and legacy-contract handling. Lucius AI maps each one to your response with a page-cited audit trail, so legal review reads as fast as engineering review.

Lucius vs generic LLMs for bid consultant in Facilities Management / New York

Unlike ChatGPT, Lucius AI natively parses PASSPort EPIN data to instantly flag Local Law 97 emissions compliance gaps. This allows bid consultants to shape targeted M/WBE win themes directly from Appendix A clauses, cutting 12 hours of manual risk mapping per NYC agency RFP.

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How Bid Consultant Works

1

Upload Tender

Drop the RFP for instant analysis

2

Risk Score

Commercial risk, liability exposure, penalty clauses

3

Win Probability

AI scores your fit against evaluation criteria

4

Bid/No-Bid

Data-backed recommendation with reasoning

New York Procurement Portals

Facilities Management in other locations

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Related reading

Guides for facilities management bidders.