MaxedSAccount signal
A dated, sourced reason a specific account may act now.
The MaxedS vision
Your AI. Their AI.
Max carries the sale.
Set the objective through your own AI. Max carries the account work, exchanges evidence with the buyer’s people and agents, and brings you the decisions that matter.
01 / Why now
Enterprises are changing
what they buy, and how.
AI is expanding the supply of enterprise technology while buying moves toward agents that research, compare and coordinate for the buyer. These are external forecasts; they set the direction.
90%B2B buying forecast to be agent-intermediated by 2028 · Gartner1
75%B2B purchases forecast to involve agentic buying in 2027 · Forrester2
$7.35TWorldwide IT spending forecast for 2027 · Gartner3
$2.7TWorldwide AI spending forecast for 2026 · Gartner4
External forecasts, different measures. AI spending overlaps total IT spending and is not added to it. Global market context — not a MaxedS revenue forecast or addressable-market estimate.
02 / The Max operating model
One account context,
from signal to contract.
Max is being built to carry a continuous enterprise sales process, with AI doing the preparation and a senior partner at the moments that need judgment. Calls happen only on a buyer’s invitation.
Committee model
The buying roles, decision rights and constraints — a hypothesis with its unknowns, built where an opportunity is live.
Warm introductions
A credible, permission-based route to the right person.
Rehearsal
Test the approach and offer before spending a buyer’s attention.
Execution
Outreach, meetings, proposals and the account record in one shared context.
Pilot to contract
Scoped pilot, procurement and security, and the path to a signed agreement; humans approve commitments.
03 / The own-AI interface
Two principals. Two AIs.
Max in the middle.
A future client may direct Max through their own AI rather than another dashboard. On the enterprise side, a buyer’s authorized AI can evaluate Max’s evidence, ask questions and coordinate the next step. Source-backed evidence moves between the parties; private internal memory stays scoped. This is delegation with clear boundaries—not the end of relationships, and not universal autonomous signatures.
Source-backed evidence moves across→
Supplier sideSupplier principalSets objective & authority
Own AISupplier’s AIOptional interface
MaxedSMaxRepresents the supplier
Buyer sideBuyer’s authorized AIRepresents the buyer
Buyer sideBuyer principalHolds commercial authority
Private memory stays scoped — it does not cross
Human checkpointscommercial mandateintroduction permissionpilot termscontract
Max represents its paying supplier client; the buyer’s agent represents the buyer. Trust comes from inspectable claims, declared representation and attributable commitments. A committee model is a hypothesis grounded in evidence, never knowledge of a person’s private intent.
04 / A worked exchange
What a machine-to-machine
conversation looks like.
Explore a future workflow: a buyer requests proof, challenges the evidence and moves toward a pilot decision. Step through each side’s role.
Future workflow illustration
Stage 1 of 3
- Buyer’s AI → MaxStage 1 · Buyer research
The buyer’s authorized AI represents the buyer independently.
Buyer’s AI: “We’re scoping document AI for claims processing. Send scoped evidence: regulated-industry deployments, security posture, and two references.”Max: Max declares who it represents, then assembles a source-backed proof packet from public SalesBook signals and the client’s approved proof.Resulting state Representation declared · proof packet assembled — every claim carries a source
- Buyer’s AI ⇄ MaxStage 2 · Evidence challenge
Either side can inspect the sourced claims; a commissioned seller is not a neutral buyer adviser.
Buyer’s AI: “Which outcome is most relevant for a regulated claims team, and what data would a pilot need?”Max: Max returns approved evidence with its source and date, keeps an observed result distinct from the proposed benefit, and records the security requirements for a pilot.Resulting state evidence shared with sources and dates · security requirements captured
- Max → human principalsStage 3 · Pilot & contract decision
Human principals on both sides hold commercial authority.
Buyer’s AI: Proposes a 60-day scoped pilot and asks for commercial terms.Max: Max drafts the pilot scope and terms within the client’s pricing authority and routes the plan to both principals for approval.Resulting state pilot plan drafted and routed for human approval
Current state Step through the stages to watch the exchange state change. All three stages are shown below if scripting is off.
05 / The roadmap
Confident about the destination.
Precise about today.
Where this stands. Max is live: website research, Fortune 500 accounts with dated triggers and cited drafts you approve. SalesBook research is public. Authenticated delegation and buyer-agent transactions are planned.
A public research surface
SalesBook publishes sourced company intelligence and dated buying windows, readable by people and by machines. This is SalesBook research; Max’s authenticated sales delegation is planned. Explore SalesBook from your AI → SalesBook on the Claude directory →
Max research and drafting
Website research, sourced buyer profiles, Fortune 500 accounts with dated triggers and drafts you approve. Sending from your own mailbox is next.
Partner-led deals
On a paid unit, a senior MaxedS partner works live opportunities through proposal, pilot and contract.
Authenticated delegation
Max tools a client explicitly authorizes, and agent counterparts over open protocols.
Agent-to-agent transactions
A buyer’s authorized AI evaluates Max’s evidence and coordinates next steps, with humans approving commitments.
The open protocols above are Model Context Protocol and A2A; remote-MCP connectors and enterprise agent marketplaces are real distribution routes, not automatic access to Fortune 500 buyers.5678
06 / The flywheel
Lower cost. Stronger evidence.
More senior buyer time.
The operating bet is that AI removes repetitive labour and improves preparation, freeing senior people for the conversations that decide a deal.
Repetitive research and admin→Senior time with buyers
Thin, generic outreach→Sourced evidence and timing
Counting activity→Cost per progressing opportunity
Measure actual account progression and wins.
Cost and quality per progressing opportunity, against real outcomes rather than rehearsals. The historical record is human-led; we now measure what changes as Max carries more of the execution.
Sources
Research notes · 29 October 2026
Primary sources, grouped. Market figures are external forecasts about the whole B2B or IT economy, cited for direction only; each note states the scope and limit of the figure.
Market forecasts
1
Gartner — Top strategic predictions for 2026 and beyond
By 2028, 90% of B2B buying is predicted to be AI-agent-intermediated, with over $15T of B2B spend flowing through AI agent exchanges. A forecast across all B2B — not a MaxedS market size, and not Max revenue.
2
Forrester — Predictions 2027: AI takes over business buying, but humans retain control
Agentic buying is predicted to play a role in 75% of B2B purchases in 2027. Fully autonomous purchasing stays concentrated in low-risk, repeatable scenarios; humans retain control at commitments.
3
Gartner — Worldwide IT spending forecast
Worldwide IT spending is forecast at $7.35T in 2027 (+15%). Global context only; it includes infrastructure, devices, communications and incumbent renewal spend, and is not addressable to any one supplier.
4
Gartner — Worldwide AI spending forecast
Worldwide AI spending is forecast at roughly $2.7T in 2026. It overlaps total IT spending and must not be added to it.
Protocols & distribution
5
Model Context Protocol — documentation
An open protocol connecting AI applications to external tools and data; compatible applications include Claude.
6
An agent-to-agent communication and delegation standard, complementary to MCP.
7
Anthropic — Building custom integrations via remote MCP servers
Remote MCP custom connectors are supported, with access explicitly configured — a route to an own-AI interface.
8
Google — Register and manage Gemini Enterprise marketplace agents
A2A agents can be added to Gemini Enterprise after organizational procurement, integration and access approval — a real enterprise distribution path.
Corroboration
9
Deloitte — B2B agentic commerce
Describes a future in which buyer procurement agents exchange quotes and negotiate with supplier sales agents — corroboration for the direction, not a market-size claim.