Turn all of your company's knowledge into intelligence to sell more.
Connect internal data, CRM, market signals, benchmarks, socioeconomic information and the knowledge of your best sellers into commercial intelligence that keeps evolving and guides every opportunity.
All of the company's knowledge working for every seller.
Your sellers shouldn't have to hunt for the right information.
Today, to prepare a meeting, understand a customer or build a proposal, sellers navigate dozens of sources — and still depend on individual memory and experience.
The problem is not a lack of information. It is an excess of information without context.
While your seller looks for answers, a competitor may be closing the opportunity.
Your company has data. Your sellers have information. But who turns all of that into commercial intelligence?
Scattered knowledge
The information needed to sell is spread across different systems and documents.
Dependence on top sellers
A meaningful share of commercial knowledge exists only in the experience of a few people.
Insufficient preparation
Sellers walk into meetings without a full view of the customer, market, context and opportunity.
Intelligence that doesn't scale
The best seller knows how to approach a given account. That knowledge rarely reaches the rest of the team.
The knowledge exists. The challenge is turning it into accessible, contextual and scalable intelligence.
What if every seller had a commercial strategist by their side?
Imagine that before every meeting, proposal or outreach, your seller could ask:
And get contextualized answers grounded in the company's real knowledge.
Meet the AI Sales Agent.
Commercial intelligence connected to your company's knowledge, to the market and to the experience of your best sellers.
The agent works as an intelligent layer over your existing commercial ecosystem — without replacing your systems and without asking the team to learn yet another tool.
A knowledge base that learns from the business.
The differentiator is not simply RAG over documents. The solution combines different types of knowledge.
Structured knowledge
Data from CRM, ERP, Data Warehouse, BI and other corporate systems.
Unstructured knowledge
Documents, decks, contracts, proposals, emails, reports and internal content.
External intelligence
Market, competitors, benchmarks, economic indicators and socioeconomic data.
Human knowledge
Expert experience, playbooks, strategies, objections and best practices.
Continuous learning
Commercial interactions and outcomes continuously feed the evolution of the intelligence.
Commercial intelligence stops being a static repository and starts evolving with the business.
The knowledge inside your best sellers' heads can become company intelligence.
That knowledge is usually hard to document and even harder to scale. With AI it can be structured, contextualized and continuously embedded into commercial intelligence.
The best sellers know:
- which questions to ask
- which objections to anticipate
- which arguments work
- how to approach each customer profile
- when to push
- when to change strategy
- which signals indicate opportunity
- which products fit best
- how to negotiate
- which paths accelerate closing
The best seller stops being an exception. Their knowledge multiplies the capacity of the whole team.
From scattered information to the next best action.
Connects
Integrates internal data, documents, systems and external sources.
Understands
Builds context about customers, products, market and opportunities.
Learns
Incorporates tacit knowledge, feedback and learnings from interactions.
Analyzes
Cross-references internal and external information to spot patterns, risks and opportunities.
Recommends
Suggests approaches, arguments, products, next steps and strategies.
Evolves
Every interaction can generate new learnings to continuously improve the intelligence.
Imagine preparing a meeting in seconds.
“I have a meeting tomorrow with Company X. How should I prepare?”
Customer
- relationship history
- revenue
- products in use
- contracts
- previous interactions
Market
- segment
- growth
- economic scenario
- trends
Opportunity
- estimated potential
- fitting products
- intent signals
- similar opportunities
Competition
- competitors present
- positioning
- relevant differentiators
Strategy
- key pains
- decision makers
- recommended arguments
- possible objections
- next best action
Illustrative example. Fictional data.
It's not a generic AI answer. It's intelligence built on the real context of that opportunity.
A sales supermachine for your commercial team.
The AI Sales Agent turns the organization's scattered knowledge into intelligence accessible to every seller. It doesn't replace the seller. It amplifies the seller.
More context
Understand each customer better before every interaction.
More preparation
Walk into meetings knowing what really matters.
More speed
Cut the time spent looking for information.
More consistency
Bring best practices to the entire team.
More intelligence
Combine internal data with external market signals.
More scale
Multiply your best sellers' knowledge across the organization.
Not just another generic copilot.
Generic copilots know the world. The AI Sales Agent knows your business.
Generic AI
- General knowledge
- Generic answers
- Little context
- No proprietary knowledge
- No business-specific learning
Enterprise AI Sales Agent
- Company data
- Proprietary knowledge
- Per-customer context
- Market and benchmarks
- Tacit knowledge
- Continuous learning
- Workflow integration
- Enterprise governance
Competitive advantage is not only in the AI model. It's in the context your company can deliver to the AI.
Intelligence embedded in the sales workflow.
Intelligence shows up where the seller already works — not in one more tool they have to learn.
Commercial intelligence with enterprise governance.
- Access control
- Data security
- Knowledge governance
- Traceability
- Source control
- Corporate policies
- Information segregation
- Observability
- Integration with existing architecture
Commercial intelligence at scale requires trust, security and governance from the architecture up.
The goal isn't a smarter AI.
It's a smarter commercial team.
Commercial productivity
Less time looking for information.
Quality of approaches
More context in every interaction.
Conversion
Better decisions and more relevant approaches.
Preparation time
Consolidated information in seconds.
New seller ramp-up
Faster access to company knowledge.
Scalability
Best practices available to the whole team.
Quantitative indicators are defined together with each client based on their own baseline.
From hours of research to seconds of intelligence.
Before
- 01Seller receives an opportunity
- 02Searches the CRM
- 03Opens reports
- 04Asks colleagues
- 05Researches the market
- 06Looks for old decks
- 07Tries to understand the context
- 08Prepares the meeting manually
After
- 01Asks the AI Sales Agent: “How should I approach this opportunity?”
- 02Agent combines internal data + market + history + commercial knowledge
- 03Delivers context
- 04Identifies opportunities
- 05Suggests an approach
- 06Recommends next steps
The next step in commercial transformation is turning knowledge into intelligence.
The AI Sales Agent connects these layers to turn data and knowledge into contextualized commercial decisions.
“Turn your company's knowledge into intelligence for every seller.”
How much of your company's knowledge is actually helping your team sell?
Let's understand how your data, commercial knowledge and market intelligence can become a new intelligence layer for your sales team.
Talk to our agent and find out where AI can create impact in your commercial process.