Turbocharging ROI in Finance with AI‑Powered M&A Software: DCS

The Boston Consulting Group (BCG) report, "How Finance Leaders Can Get ROI from AI," reveals that while many finance teams are still experimenting with AI, a select group is deriving real and measurable returns. Central to this success is a laser focus on strategic, high-impact use cases—from forecasting to M&A diligence —against the backdrop of firm-wide digital transformation.

Why ROI Starts with Purpose & Sequencing

• Start small, scale fast. Instead of broad pilots, top performers prioritize a limited set of high-value use cases and then scale success incrementally.

• Embed AI end-to-end. ROI stems from integrating AI tools into full-cycle processes (e.g., M&A, budgeting), not just running standalone proofs of concept.

• Mix of predictive + generative. Deploying forecasting AI alongside GenAI agents for language and judgment-heavy tasks yields compound value.

DCS M&A Software: AI + Non‑AI Integration Driving Tangible Value

The DCS's M&A Software highlights this integrated approach. Here’s how it delivers strong ROI:

1. Legal‑time savings per deal. By automating contract review, risk flagging, and clause-level analysis, DCS saves approximately 10 hours of legal billing per M&A or major procurement deal—a direct cost reduction.

2. Speeding M&A diligence. DCS accelerates document ingestion, due diligence checklists, and legal reviews. That helps teams shave about 3 weeks off the typical diligence cycle, enabling faster deal execution and lower advisory fees.

3. AI + human oversight. Where GenAI handles initial extraction, summarization, and flagging, non-AI workflows take over for review, validation, and negotiation. This hybrid model ensures accuracy and trustworthiness, thereby avoiding issues such as hallucinations.

Alignment with BCG’s Success Patterns

BCG identifies mid‑to‑high performers as those who:

• Focus investments in a few critical, high‑ROI AI use cases

• Track outcomes rigorously, tying AI projects to specific business metrics.

• Embed AI into process transformation, not just stand‑alone tech deployments.

DCS fits this mold: it targets contracting (a core, high-frequency pain point), has measurable legal-time and deal timeline savings, and merges AI with established deal workflows and human oversight.

A Clear ROI Outcome

By combining AI-automated review and human-in-the-loop validation, DCS delivers:

• 10 hours of legal time are saved per deal, resulting in substantial fee savings.

• 3 weeks shaved from M&A due diligence timelines—accelerating time-to-close and reducing external advisory costs.

• High trust from non-AI human checks, ensuring confidence and compliance.

In Summary

BCG’s report emphasizes that AI ROI isn't magic—it comes from strategic focus, hybrid deployment, and measurable outcomes. DCS embodies this approach by delivering clear legal and timeline efficiencies through a smart blend of AI and traditional workflows.

By adopting DCS, finance leaders can follow BCG’s playbook—achieving accelerated processes, fee reductions, and transformative value from AI‑enabled tools.

Written by John Thompson, a guest writer.