Notice how I said it will be done by AI agents—not with or using agents. No human can match what an AI agent accomplishes when it has the right foundation. Without that key piece though, your AI doesn’t understand your business. And the outputs? Unusable and wrought with error—you may even end up in a worse place than where you started!
AI agents without critical business context are often useless and even dangerous
Using LLMs to create generic AI agents that lack the deep commercial context of your business are both brilliant and completely useless. The gap isn’t technology—it’s the missing infrastructure layer. Agents need context, the critical data hidden with your commercial agreements, to be smart.
Specific knowledge about who you are and how you’ve approached work in the past are the difference between an awkward blind date with AI and a productive relationship. Something so simple is a true differentiator in the world of fast-moving AI.
To actually deliver value at a high level, agents need to at least have answers to the following:
- Who are you?
- Where do you work?
- What are your objectives?
- What are your company objectives?
- How have you done something before?
- How do you want to do it in the future?
- What other information do you have that can provide the AI context so it’s acting as ‘smartly’ as possible?
Take for example a simple process, like using AI to write marketing copy. Without providing specifics, you might luck out and get something “good enough” that you have to spend as much time editing as it would have taken to write yourself. But give it real data-backed context? You can get $50k worth of tailored, high-quality output in 20 minutes. This same principle applies everywhere else in your business.
Uninformed agentic AI is risky at best
As everyone rushes toward “AI for all,” building trust with data-backed results becomes key.
Accelerated autonomous decision making amplifies both value AND risk, so you need to ensure agents are operating in a way that is predictable, accurate, scalable, and secure. Without the right foundation in place, agents simply can’t hit these marks. And the results have real implications for your business.
Uninformed agents lead to issues like:
- Loss of customer trust
- Stalled tool adoption
- Damaged supplier/vendor relationships
- Wasted resources (both time and money)
- Serious security concerns
- …and the list goes on from there.
Getting set up with agents fast is great, but you need to enable them to succeed within the context of your business. Otherwise, you’re posing your business for failure and inviting unnecessary risk into your processes.
Intelligence from contracts is a necessary input for the agentic enterprise
Whether you are selling, buying, negotiating, operating, or developing a strategy, understanding details about your contracts and commercial relationships with customers and suppliers is obviously very important.
So, the question becomes: how do you achieve accurate, predictable results at scale? How do you take the raw capability of AI and trust it with your most important relationships? Becoming an agentic enterprise comes back to answering the right questions.
Here are some real examples of how powerful AI agents can be when they are operating with a foundational layer of commercial relationship context:
- Pain-free proactive relationship management:
Without contract intelligence, your account teams manually track renewal dates in spreadsheets. But with it, an AI agent has the information to flag an expiring software vendor agreement coming up in 60 days. Then, cross-references it with three related SOWs that auto-renew unless cancelled, and alerts the procurement team with a summary of current terms versus market rates before anyone even has to ask, and maybe even drafts a proposed amendment or order to reflect your preferred negotiating strategy for review.
- Pricing consistency and smart negotiation power:
Let’s say a sales rep at your organization is negotiating a deal with a new customer in healthcare. Instead of guessing at pricing, contract intelligence ensures agents know that in a similar deal you previously agreed to a 15% volume discount on similar products, that your standard payment terms were Net 45 (not the Net 60 they’re requesting), and that you successfully negotiated an annual price escalation clause in 80% of these comparable deals. The rep enters the negotiation informed, consistent, and confident.
- Cross-functional visibility at scale:
A finance team member needs to forecast Q4 revenue but isn’t sure which customer contracts have auto-renewal clauses versus opt-in renewals. Contract intelligence about your commercial relationships enables an AI agent to instantly analyze your entire contract portfolio, identify $47M in auto-renewing agreements versus $23M requiring active renewal, break it down by customer segment, and highlight that your top 10 customers all have different renewal trigger dates. Without crucial context, that information would take weeks to compile manually.
- Compliance and obligation tracking you can actually trust:
Your company just updated its data privacy policies. Without the context from contract intelligence, determining which customers have special data handling requirements means reading through hundreds of contracts. With it, AI instantly identifies 23 customers with bespoke data residency requirements, 15 with custom breach notification timelines, and 8 with audit rights that your standard terms don’t include—then automatically routes proposed amendments to each appropriate owner with the specific proposed contractual language and deadlines.
- Illuminating patterns based on precedents:
Your most experienced contract negotiator is retiring. Their decades of know-how about which terms to fight for and which to concede would typically walk out the door with them. Contract intelligence captures this wisdom by analyzing patterns across every deal they’ve closed: which liability caps they accepted in which industries, how they structured earnout provisions, their go-to fallback language when negotiations stalled. AI agents can now leverage these precedents, providing valuable expertise to your entire legal team.
- Managing post-acquisition overlap and conflicts:
Your company just acquired a competitor with multiple overlapping customers. Without contract intelligence, your teams spend months manually hunting for conflicts. With it, AI agents deliver a full picture in hours: a healthcare customer paying different rates to both companies has a “most favored nation” clause you’re now potentially breaching, six customers have exclusivity agreements that conflict with active sales negotiations, and looser liability terms in acquired contracts expose you to risk your legal team would never accept. The AI maps consolidation opportunities worth $3.2M and delivers risk-ranked actions with owners assigned. What would take your team 4-6 months of manual work becomes actionable intelligence before the acquisition ink is dry.
All of these processes are powered by this proprietary commercial relationship context unique to your organization. AI agents handling high-stakes business processes need more than generic intelligence—they need your data. Your contracts are packed with that knowledge. You just need access to it.
Pramata powers smart AI agents with critical commercial relationship context
Pramata not only eliminates that gap, it puts companies in a position to accelerate the adoption and value from agentic AI across the enterprise. And we’ve based our platform on two decades of domain expertise gained from organizing over 30 million contracts, representing over $700 billion in revenue and spending for many of the most sophisticated companies in the world. We extract and structure the commercial relationship context to build the foundational data layer turning agents into uninformed, generic assistants into strategic business operators.
The question isn’t whether AI will transform how business gets done. It’s whether your AI will have the commercial intelligence it needs to do it right.
Watch this video to see how Pramata’s Contract Intelligence Platform can help your business be more strategic.
