The previous article in this series examined how fragmented data is impacting coverage precision. This article explores how modern operating models are redefining deal velocity.
The investment banks winning the most mandates right now aren’t necessary the ones with the best bankers. They’re the organizations whose systems find opportunities before anyone else. In today’s market — where mid-market deal counts remain persistently depressed — that edge isn’t a nice-to-have. It’s the difference between leading the conversation, and learning about it after the fact.
Across major markets, deal volumes have come under sustained pressure. Steady growth in aggregate value has masked an important reality: that growth is driven by a well-documented concentration of megadeals, particularly in M&A. This means every pitch, coverage call, and business decision carries more weight than it used to.
Pulling ahead in this environment requires modern operating models that use connected intelligence and AI to accelerate deal velocity. Firms that continue to rely on fragmented legacy operating models risk falling farther behind with every deal cycle.
How modern operating models compound advantage
When it comes to winning mandates, talent, relationships, and sector expertise still matter. But there’s now a new factor delivering a compounding advantage: AI that’s embedded into everyday deal workflows.
You know the dynamic: the more deals you pitch, the more you get hired. And in today’s competitive environment, locking in more pitches requires more than just effort — it also requires modern systems that can surface the right opportunities faster, brief teams instantly, and compress the time from signal to conversation.
Your deal teams must also interpret larger volumes of signals across corporates, sponsors, portfolio companies, and market activity than ever before. Clients increasingly expect their advisors to anticipate their needs, raising the stakes across every sector.
If your bank is still relying on disconnected systems and fragmented data, you’re working against these headwinds. Legacy operating models weren’t designed for this environment — they slow execution and make it difficult to meet rising client expectations. But with modern operating models, firmwide intelligence is unified and synthesized, producing real-time insights that help bankers deliver more value and increase client satisfaction.
These modern models compound advantage by helping banks address three trends reshaping the market:
1. Mandates are becoming more concentrated
Fewer opportunities are driving a larger share of fee pools. At the same time, clients are engaging fewer advisors and running more targeted, selective processes, particularly in sponsor-led and large-cap transactions.
Mandates are being shaped before a formal process ever begins. Small informational advantages — a sponsor portfolio change, a refinancing signal, or a shift in sector activity — can determine which banks are invited into early-stage conversations. Origination advantage is increasingly defined by who sees these signals first — and acts with speed, clarity, and precision.
2. Intelligence complexity is increasing
Your bankers are operating in an environment where the information at their disposal is expanding rapidly. Coverage teams have to synthesize intelligence about corporate clients while tracking industry activity and monitoring vast sponsor portfolios spanning dozens or even hundreds of companies with varying strategic and capital needs.
But the challenge isn’t just volume — it’s that critical context is often scattered across systems, relationships, and time, making it difficult to form a complete, real-time view of an opportunity. As a result, your bankers spend more time reconstructing what happened than acting on what’s next. And when a senior managing director leaves, years of relationship context and deal history walk out with them.
3. AI is redefining how professionals operate
The productivity gains from AI in investment banking are already measurable. Deloitte projects that using AI can increase front-office productivity by 27–35% — driving up to $3.5 million in additional revenue per banker.
In addition, JPMorgan has reported a 40% reduction in pitch preparation time using AI-assisted tools, and Goldman Sachs projects a 33–41% uplift in M&A advisory fees from AI-driven productivity. These aren’t projections for a distant future — they’re advantages compounding in real time.
The future is agentic AI: AI that actively monitor signals, prepares briefings, and surfaces opportunities continuously. This delivers an advantage by compressing the time from signal to pitch. In any market, that speed is decisive. A week’s delay in identifying a mandate signal can mean the conversation is already happening without you.
What a modern operating model needs to deliver
To compete effectively, your operating model should provide:
- Industry-specific infrastructure. Your infrastructure should be designed around how your bank works. Infrastructure built for firms selling material goods can’t meet the unique operating or regulatory requirements of investment banks.
- Unified, real-time intelligence. Deal, sponsor, portfolio, and sector intelligence should be centralized in one system so cross-portfolio signals can be surfaced early, enabling proactive mandate identification at scale.
- Clarity across every relationship. Firmwide relationship and activity data should be captured automatically in one platform, then synthesized into real-time insights that help bankers improve coverage and prioritize outreach.
- Centralized, automated workflows. Bringing all workflows within one platform supports faster, more consistent execution, and enables bankers to easily track deals from origination to close.
- Compliant, embedded AI. Working faster and smarter without increasing compliance risk requires AI that’s designed for regulated industries and embedded into your everyday workflows.
The cost of standing still
Banks using connected intelligence, AI, and automation are pitching faster, acting with precision, and winning more mandates. In a global market where deal flow remains compressed and every opportunity counts, the cost of fragmented systems is more than efficiency. It’s also mandates lost to competitors who were in the conversation earlier. Learn how your firm can win more mandates with a modern operating platform purpose-built for how investment banks work: intapp.com/ai-for-ib.
Next in the investment banking leadership series: Why unified portfolio intelligence is becoming a competitive advantage in sponsor coverage. Read it now.