Lee Blakemore once looked at his phone and found 18 new connection requests waiting. He did not accept them in a cheerful burst of digital hospitality. He inspected them, one by one. This person seems legitimate. This is a bot. Real. Bot. Another bot. The exercise was exhausting, but it neatly expressed the problem that would come to define his work: a list of people is not the same thing as a network of relationships.
Blakemore has put the difference in numerical terms. Eight thousand LinkedIn contacts gathered without much thought may be worth less than 500 people one actually knows. The smaller number carries history: a conversation, a favor, a shared employer, a meeting that went unusually well, perhaps even the memory of an airport coffee after a delayed flight. A contact record knows a name and a title. A relationship knows why a call might be returned.
For a chief executive in the business of relationship intelligence, this is convenient. It is also the product of a career spent watching enterprise software promise order and then discover people behaving like people. Over more than three decades, Blakemore has worked through hosted applications, cloud computing, software as a service and now artificial intelligence. Each era arrived with a brighter vocabulary. Each still had to answer the same unfashionable question: does this help someone do the job?
A career that followed the cloud
The early stops include Scala Business Solutions and Corio. Corio delivered enterprise applications as an online service before the cloud became the place every software brochure claimed to inhabit. IBM acquired the company in 2005, and Blakemore went on to spend nine years at Big Blue. His roles there included European sales for the Application on Demand business and global leadership in software for smarter infrastructure and connected systems.
He then became senior vice president of global sales and marketing at Velocity Technology Solutions, responsible for revenue operations. In 2015, he joined Blackboard, the education technology company. The work expanded beyond selling software. As president of Blackboard International, based in London, he managed business outside North America. In later jobs he led global client operations, customer success and markets. The assignment included moving Blackboard toward the cloud and reshaping it as a SaaS business.
Corporate transformations often sound tidy after the fact. In practice they involve old systems, anxious clients, altered incentives and people who preferred yesterday's process because at least yesterday's process was familiar. Blakemore's public account of leadership is notably less mechanical. He emphasizes empowerment, a safe space for experimentation and the obligation to learn from both failure and success. In one interview he called his ability to simplify a complicated situation his superpower. After years of cloud migrations and reorganizations, he has had material on which to practice.
His next transition involved Blackboard's K-12 community engagement business. He led it through Anthology, through its sale to Finalsite and into the integration that followed. A sale may be announced with champagne and a photograph. Integration is where databases, job descriptions and expectations meet on Monday morning.
“Every challenge provides a learning opportunity. It's essential to reflect on successes and failures to continuously grow as a leader.”Lee Blakemore
The memory inside the firm
Blakemore became chief executive of Introhive in January 2023. The Fredericton company had raised a $100 million Series C round in 2021 and built software that automatically captures and enriches the ordinary evidence of commercial life: contacts, messages, meetings and changes in employment. Its clients are concentrated in professional services, where a firm's inventory walks out of the lift every evening and much of its value lives in who trusts whom.
This creates an organizational comedy. A company may employ thousands of smart people and still fail to notice that someone on the fourth floor knows the prospective client everyone on the seventh floor is trying to reach. The information exists, but only as memory, an email thread or an unattended CRM field. In Blakemore's language, the relationship belongs to the firm, yet its context is often trapped with the individual.
messages + meetings
context
useful action
That belief gives Blakemore's career an unexpected unity. At Blackboard, he dealt with the shift from installed software to a shared service. At Introhive, he is dealing with the shift from data stored in separate tools to intelligence that can travel through a business. The unit being moved is no longer merely a file. It is context.
Context sounds soft until it is absent. A sales team approaches an account unaware that a colleague has a warm connection. A partner leaves and takes years of informal knowledge with her. A client changes jobs and disappears from view precisely when the move has created an opening. Introhive tries to make such changes visible without asking busy professionals to become diligent clerks.
When the assistant lacks a past
Artificial intelligence has made the context problem more consequential. A conventional database can hold a stale record quietly for years. An AI assistant may act on it with great fluency. Blakemore has argued that this is the ethical difference between traditional information technology and AI: one manages information, while the other increasingly shapes decisions. Privacy, data quality and governance therefore move from the back office to the center of trust.
Introhive's recent product direction follows that logic. In 2025 it released an Intelligence Suite designed to surface relationship pathways, job changes, risks and opportunities before someone remembers to ask. In August 2026 it made its Model Context Protocol server generally available. The technical promise is a standard connection through which compatible AI tools can consult current relationship intelligence without a separate custom integration for each assistant.
The human promise is easier to understand. Before software suggests an introduction or comments on the health of an account, it should know who has actually spoken with the people involved. An assistant without that history resembles a dazzling new colleague who has read the filing cabinet but met nobody at lunch.
“It's not about the 8,000 LinkedIn contacts you accepted without knowing who you were adding, but instead, it's about the 500 people you have a genuine relationship with.”Lee Blakemore
Blakemore is not presenting human judgment as a decorative final step. His argument depends on it. Clean data provides a foundation. Software finds a pattern. The person still has to decide whether a relationship can bear the weight of a request. There is no useful algorithm for the faint irritation in a client's last reply, nor should a green relationship score be permitted to overrule common sense.
Connections beyond the sales ledger
The focus on access and connection extends beyond Blakemore's day job. A Westminster College graduate, he serves on the board of The Black Star Project, a Chicago organization working to close racial academic achievement gaps and improve life in Black and Latino communities. He also serves the LaSalle Council of the Boy Scouts of America. His public interests include civil rights, economic empowerment, human rights and poverty alleviation.
Those commitments do not need to be turned into a corporate metaphor. They do, however, clarify what Blakemore means when he talks about people and culture. Institutions distribute more than software licenses. They distribute information, attention and opportunity. A hidden connection in a CRM may cost a deal. A hidden route to education or mentorship costs something more lasting.
Blakemore is married and has two college-aged daughters. He has worked across borders, managed global teams and lived in London. The résumé offers the predictable vocabulary of scale: markets, operations, transformation, growth. His more interesting language is intimate. Safe spaces. Real relationships. Trust. Reflection. The words are modest because the work they describe is hard.
There is also a pleasing irony in a technology executive making the case for fewer, better connections. The software industry usually rewards accumulation: more users, more data, more automation, more everything. Blakemore's 18 connection requests point in the other direction. Value begins with discrimination. Is this person real? Is this relationship current? Does the connection mean enough to act upon?
Enterprise software cannot answer those questions alone. It can make sure they are asked with better evidence. That is the wager at the center of Blakemore's latest chapter: artificial intelligence becomes more useful when it is given not only the facts of a business, but some memory of its human life. The future, it turns out, may depend on knowing whom to call and remembering why they might pick up.