I am moving from consulting to autonomous commercialization

I have decided to stop further development of MAS.Ai and focus new development on Entriva.ai. MAS.Ai will continue to be delivered only to existing paying customers.

Its human consultative offering will be phased out or replaced by AI and robotic systems. I will no longer build my future business around human consultative services.

This is a strategic decision based on where I expect buying and commercialization to move. It is also the practical consequence of a question I explored in The buyer's AI gets there first: what happens to the people in the middle when the buyer's AI can do much of the commercial thinking?

The buying process is moving into the work

My own software purchases have already changed.

I explain what we need to build or publish. My AI helps identify the tools required, investigates the alternatives and recommends what fits. We buy what the work needs.

I do not need a salesperson to explain every product. I do not even need to visit the supplier's website myself.

The buying process develops inside the work we are doing together.

That experience has changed where I want to invest my time. A business built around guiding people through research, assessment and commercial preparation becomes less attractive to me as their own AI can perform more of those functions.

I expect the demand for human consultative services to fall substantially across many of these activities. The pace will vary, and some forms of human expertise will retain considerable value. My decision is to build for the direction I expect.

What changes for MAS.Ai

MAS.Ai grew around market signals, possible buying needs and matching those needs with relevant suppliers and people. It helped make the difference between an observable event, a plausible need and a commercially useful match more concrete.

That work has value, and existing paying customers will continue to receive their service.

The decision now is clear:

• Further development of MAS.Ai stops.
• Delivery is limited to existing paying customers.
• Its human consultative side will be discontinued or replaced by AI and robotic systems.
• New development effort moves to Entriva.ai.

The historical MAS.Ai question and the work already built remain visible. They explain where the thinking came from. The new development direction has its own working problem.

The new question is Entriva.ai

Can a program find customers from signals and sell services to them through autonomous agents, without human involvement in the sales process?

That is the problem I will work on through Entriva.ai.

The intended system connects signals, possible needs, supplier fit and actual selling. Its agents should be able to take an opportunity through a commercial process without handing each step back to a person.

The destination is a sale. Research, recommendations and meetings are intermediate outcomes.

There are two sides to this.

Proactive agents seek out potential customers

The proactive agents start with changes in the market.

They examine whether those signals indicate a plausible need, identify which services could be relevant, and initiate contact with potential customers. They continue the commercial dialogue and work toward a purchase.

That requires the system to distinguish between an interesting event and a real reason for a particular customer to buy a particular service.

A signal becomes useful when the agent can connect it with context, need, fit and a meaningful commercial action.

The ambition is for the whole process to run without a person researching the account, approving each approach or taking over the conversation to close the sale.

Defensive agents meet the buyer's AI

Other buying processes will begin on the customer's side.

A buyer's AI may already have developed requirements, examined alternatives and started assessing suppliers. Entriva.ai also needs agents that can meet that inquiry.

I call these defensive agents: they represent the supplier when a buyer or the buyer's AI comes to investigate an offer.

They need to make services understandable, answer questions, provide evidence, clarify scope and commercial terms, and participate in the dialogue that leads to a purchase.

The commercial encounter can therefore become agent to agent.

A buyer's AI investigates what its organization needs. A supplier's agent explains what can be delivered and on which terms. The intended transaction proceeds without a human intermediary.

Both proactive and defensive agents must work from the same understanding of the services being sold.

What changed

The earlier work helped people identify opportunities and decide what to do next.

Entriva.ai extends the question to the commercial process itself: can the system find the opportunity, engage the customer and sell the service?

The focus moves toward a program that performs the work continuously, including when the buyer arrives with an AI of their own.

MAS.Ai remains in delivery for its existing customers. Entriva.ai becomes the focus of new development.

What I think matters

The system must be assessed by the commercial outcomes it produces.

A large number of signals does not establish demand. A plausible need does not establish a willing buyer. An agent conversation does not establish a sale.

The useful evidence will be completed purchases, relevant services, delivery against the agreed scope, operating cost and what the system learns from the outcome.

I also want to examine my own premise. If the buyer can build more capability inside their existing AI tools, Entriva.ai must earn its place through the useful work it performs and the outcomes it produces.

The ability to build a program is only the beginning of that test.

What remains uncertain

The strategic decision is made. Complete autonomous selling remains a development target to demonstrate.

We still need to establish how reliably the system can interpret signals, distinguish possible demand from buying intent, sustain useful dialogue and reach a genuine purchase. We also need to learn how different buyer agents assess evidence and interact with a supplier's agents.

Some services and buying situations will be easier than others. The pace at which buyers delegate commercial decisions is still uncertain.

Those uncertainties define the new working problem.

I am putting new development effort into a system that performs commercialization without human intermediaries.

Working problem: Entriva.ai — Can a program find customers and sell services without human involvement?

MAS.Ai status: Can law firms detect demand before the buyer starts looking for legal help?