Yes — the AI alternative to Gallagher & Mohan is a platform that abstracts leases, builds the underlying data for financial models, and supports due diligence without an offshore analyst team. Kolena deploys AI agents that read commercial real estate documents and return structured, cited outputs in minutes, replacing the knowledge-process-outsourcing model Gallagher & Mohan runs.
Gallagher & Mohan is a genuinely specialized CRE outsourcer, so this is a comparison of two delivery models — an expert offshore team versus an AI platform you operate in-house — not a quality knock.
This is part of a series of articles about BPO Replacement.
What Gallagher & Mohan Does
Gallagher & Mohan is a real estate knowledge-process-outsourcing (KPO) firm founded by CRE private-equity veterans, delivering offshore support specifically for commercial real estate. Its commercial lease division handles lease abstraction, compliance, audit, accounting, and payment processing; its financial-analysis division builds underwriting models, loan sizing, and ARGUS-based cash-flow models. It reports serving 250+ clients and works fluently in Yardi, AppFolio, RealPage, and RentManager.
Its strength is domain depth. Unlike a generalist BPO, its analysts understand rent escalations, recovery structures, and underwriting logic, and it markets 40–50% cost savings versus onshore staffing. For a firm that wants seasoned CRE analysts on tap without hiring them, Gallagher & Mohan is a strong option.
Where the Offshore Model Falls Short
The constraints are inherent to staffing-based delivery. Turnaround follows a human queue — typically a few business days per batch — which is fine for ongoing portfolio work but slow when a deal is live. Cost trends upward: India median salaries rose roughly 9.5% per year in 2024 and 2025, so a headcount contract grows more expensive at each renewal. Non-voice BPO attrition of 15–30% means the analyst who learned your model template may not be there next quarter. And manual abstraction produces values without tight traceability to the source clause — a real gap when an investment committee or lender questions an assumption.
How Kolena Compares
Kolena converts that analyst workflow into AI agents you configure once and run on demand. The market is already moving this way: MIT's Project NANDA study (Aug 2025) found early enterprise AI is predominantly displacing offshore work, with firms cutting $2–10M in annual BPO spend. HFS Research found three in four leaders expect to shift from staff-augmentation to AI-led delivery within two years. The proof in CRE is concrete: one Kolena commercial real estate customer captured about $100,000 in efficiency gains across 58 leases, and offshore lease abstraction that runs $5–$100 per lease over 2–5 days collapses to minutes per lease.
| Factor | Gallagher & Mohan | Kolena |
|---|---|---|
| Delivery model | Offshore or managed staffing billed per seat, FTE, or transaction | AI agents you configure once and run on demand |
| Typical turnaround | 2–5 business days per batch | Minutes to hours |
| Cost trajectory | Rises with headcount and India wage inflation (~9.5%/yr) | Software cost; flat as volume scales |
| AI approach | Expert analysts using standard CRE tools, augmented selectively | A native AI platform you deploy and control directly |
| Output consistency | Varies by analyst; non-voice BPO attrition runs 15–30% | The same rubric applied identically on every run |
| Source citations | Manual QC; source linking is limited or absent | Field-level citation to the exact location in each document |
| Data residency | Typically processed offshore | Onshore, SOC 2 Type II, no training on customer data |
| Ownership | Vendor owns the process and the people | You own the rubric, template, and full audit trail |
For underwriting and IC work, the citation is the differentiator: every figure Kolena feeds into a model or memo links back to the exact lease clause or statement line, so diligence is auditable end to end.
Who Should Consider Switching
Be honest about fit. If you need occasional, judgment-heavy analyst work — a one-off market study, a complex bespoke model — an expert KPO like Gallagher & Mohan is well suited. AI wins when lease and document volume is high and recurring, when deal timelines make multi-day turnaround costly, when you want a citation behind every modeled input, or when you'd rather own the workflow than rent the team. Many CRE firms end up using both: AI for the high-volume extraction, expert humans for the genuinely novel analysis.
Related articles: offshore vs onshore document processing and genpact alternative.
How Kolena Works
Kolena is an AI document automation platform built for commercial real estate teams. Rather than staffing or outsourcing a team to read your documents, Kolena deploys AI agents that read your files, apply your specific rubric or extraction template, and return structured outputs — with every field cited to its exact location in the source document.
It reads leases, rent rolls, operating statements, and offering memoranda in any format and pushes structured data into Yardi, MRI, Argus-ready models, and your data warehouse. Every run produces a full audit trail: not just what was extracted, but the specific clause, line, or figure that justified each data point. SOC 2 Type II certified, onshore processing, no training on customer data.
Where Gallagher & Mohan gives you an offshore CRE team to direct, Kolena gives you a platform that produces abstraction- and underwriting-ready data in minutes, with a citation behind every field.
