Enterprise business development for AI companies
Selling enterprise AI means cutting through the loudest, most crowded market in technology to reach the executives who actually own AI strategy, data, and budget. Our senior team engineers credible, executive-level conversations inside enterprises evaluating AI, separates real initiatives from hype, and turns access into qualified pipeline.
Our senior-led model combines targeted account research, direct executive engagement, market intelligence, and deal orchestration. It is built for complex, high-value sales where the buying window may take months, or years, to emerge.
Our founder built this model through decades of work in complex enterprise markets, including artificial intelligence. That experience shapes how we earn access, understand the buyer's environment, and develop opportunities over time.
Every vendor claims AI. Buyers have stopped listening to the pitch.
AI buyers are flooded with pitches and wary of hype.
- Who decides: Chief data and AI officers, heads of data science, and the CIOs and business leaders funding AI
- What they need: a real conversation about use cases, data readiness, ROI, and the risk questions behind an AI buying decision
- What it takes: senior operators who can hold that conversation, not a junior rep working from a script
We monitor the accounts and market segments that matter to your business
Six ways we find and develop enterprise AI opportunities other programs never reach.
Data and AI leaders
We reach chief data and AI officers, heads of data science and ML, and the business owners funding AI inside enterprises evaluating platforms, and uncover the initiative, decision dynamics, and timing before your team engages.
Real initiatives, not hype
We separate funded AI programs from experiments, mapping the use case, the data readiness, and the budget behind it, so your team spends time on deals that are real.
Displacement and renewals
We find incumbent platform and contract renewal timing across data and AI tooling and map the steps to be in the next deal, positioned to displace an entrenched vendor instead of locked out.
Stalled and dormant accounts
We revive no-decision and stalled AI opportunities, learn the real reason they went quiet, often data, ROI proof, or a risk review, and rebuild the path to a decision.
Market intelligence and industry shifts
We track the market intelligence and industry shifts that reshape your selling landscape, from regulation and consolidation to new categories and buyer priorities, so your team sees what is changing before it reaches the pipeline.
Technographic intelligence
Technographic data lets us laser-focus on the right challenges, reading the vendor changes, announcements, and acquisitions that reshape each account and open a window to engage.
The intelligence that actually moves an AI deal
Our work surfaces what dashboards cannot:
- How the enterprise really evaluates AI
- The data, security, and governance concerns that stall deals
- The build-versus-buy and incumbent frustrations no one admits on a demo call
- The politics between data, IT, security, and the business
This is the difference between booking a demo and understanding how the enterprise actually buys AI.
What your team receives
When an opportunity is ready for sales engagement, your team gets an analyst-grade report: the account landscape, background, signals, recommended actions, and a journalistic record of the conversations, so you know exactly what was said.
- Account-level intelligence
- Stakeholder and incumbent context
- Documented buyer conversations
- Clear next steps and prepared introductions
- Timing, obstacles, and a real-time read on the AI landscape around this account
We stay close to the account through long buying cycles and changes on either side of the relationship.
Led by MariAnne Vanella, Founder & CEO. MariAnne created the Framework of Access™ and has built executive-access programs for global technology companies including HP, SAP, Hitachi, and Nokia. Meet MariAnne →
We partner with you. We are industry-informed, plugged in, and have behind-the-curtain access that makes the difference, including the project management office. The PMO sees every initiative, timeline, and vendor decision before it goes public, and we know the PMO. We don’t throw a report over the wall and walk away. We stay in it with you, and our engagements last 7 to 10 years on average, some longer.
Enterprise AI sales, answered
Who do you reach inside enterprise AI buyers?
The people who actually decide: chief data and AI officers, heads of data science and machine learning, CIOs and CTOs, and the business and procurement stakeholders on the buying committee.
What kinds of AI technology do you sell for?
We work across the enterprise AI landscape: ML and data science platforms, MLOps, generative AI and LLM tooling, data infrastructure, and applied AI solutions, adapting the conversation to each buyer's world.
How do you cut through AI hype to find real buyers?
AI buyers have heard every pitch. A scripted message about transforming the business with AI gets deleted. We talk use cases, data, ROI, and risk with the executives funding AI, which is how we separate a real initiative from a curious one.
Can you find enterprises actively evaluating an AI solution?
Yes. Real AI buying shows up as a funded use case, a new chief data or AI officer, a data platform modernization, or a pilot that needs to scale. We separate those from AI curiosity, confirming budget, sponsor, and data readiness in conversation before your team invests time.
Do you help displace an incumbent platform?
Yes. Many enterprises are already locked into an AI or data platform that is not delivering. We find where the incumbent is underperforming, when the contract renews, and who wants a change, so you are positioned before the next platform decision.
Do you use software or people?
Both. Our own AI stack tracks hiring, funding, platform changes, and AI initiatives across target accounts. Our senior operators then test whether the initiative is real. Buyers flooded with AI pitches respond to people who can tell the difference. 100% US-based, no offshore, no scripts.
Who is this built for?
Enterprise AI, machine learning, MLOps, and data infrastructure companies with complex, high-value deals, where cutting through hype to reach the real sponsor decides the outcome. It pairs with our Framework of Access and Deal Orchestration to turn access into closed revenue.
Do you provide outsourced business development or lead generation for AI companies?
Yes. We are a senior-led, outsourced business development partner for enterprise AI and machine-learning companies, not a junior SDR or lead-gen shop. We build qualified pipeline by reaching the data, AI, and business leaders who fund AI and developing real opportunities, rather than handing over a list of names.
How do you sell enterprise AI to the C-suite?
We skip the hype and talk business outcomes. Executives want to know the use case, the data it needs, the ROI, and the risk, so we hold that conversation at their level, confirm whether a real initiative and budget exist, and map the data, IT, security, and business stakeholders who will decide.
How long is the enterprise AI sales cycle, and how do you shorten it?
Enterprise AI deals slow down in data readiness, security review, governance, and build-versus-buy debates. We shorten the path by confirming the real use case and sponsor early, surfacing those obstacles before they stall the deal, and keeping the opportunity moving as priorities shift.
Do your people actually understand AI?
Yes. Our senior team can talk specifically about use cases, data pipelines and readiness, model risk, governance, and where AI genuinely helps versus where it adds risk. Buyers can tell within minutes whether you understand the space or are reading a script.
This is what your team actually receives
Every engagement produces an analyst-grade Account Intelligence Brief. Below is a redacted sample, and you are only seeing a fraction of one.
Meridian Industries is evaluating an enterprise AI platform to deploy across several business units. Board pressure to show AI ROI and a stalled internal pilot have made this urgent, and the new Chief AI Officer owns it.
The economic buyer is the Chief AI Officer. The real owner of the pain is the VP of Data and Platform. The decision is gated by security and data governance, and procurement has flagged an incumbent cloud commitment.
A stalled pilot has pushed the committee to re-evaluate, and budget was consolidated under the new CAIO this quarter, opening a window before the shortlist is set.
The incumbent is broad but shallow; the pilot stalled on data readiness and governance, which is where adoption keeps dying.
“80% of our large deals that closed over this year started with you.”
Telecom technology client
We engineer access in adjacent enterprise markets
The Framework of Access works the same way across verticals. Explore AI governance, operational technology, and the Persistent Market Scan.
Are we a fit?
We go deep on a small number of enterprise relationships, which makes us a strong fit for some companies and the wrong choice for others. We would rather tell you which, early.
- ✓You sell an enterprise platform
- ✓Your sales cycle runs six months or longer
- ✓Your deals are high-ACV and multi-stakeholder
- ✗Smaller SaaS platforms
- ✗Single-user or self-serve tech
- ✗Transactional, low-complexity models
Reach the AI buyers your competitors can't
A brief, no-pressure conversation about the Framework of Access and what senior-led business development would open up in the enterprise AI market.
Senior-led B2B business development and opportunity creation for enterprise technology. Founded 2001.