AI can move quickly
AI can move quickly.
Commercial teams still need control.
That is why Octomise is designed around a simple operating relationship: AI recommends, the human decision owner governs, and the workspace turns approved decisions into action and learning.
The platform is not built to let AI run commercial execution without oversight. It is built to help clients use AI recommendations inside a governed workflow, where strategy, account selection, buyer mapping, engagement, and performance learning stay connected.
Set Up the Workspace
The client begins in the AI Centre.
Octomise generates the initial workspace configuration: company taxonomy, aliases, products, services, competitors, regions, countries, industries, and coverage settings.
This gives the client a fast starting point.
It is not final by default.
The human decision owner can edit, add, remove, confirm, save, and publish the record before the workspace logic is used.
Define Discovery Logic
Once the workspace is configured, the client defines the discovery logic.
This includes industry conditions, persona conditions, representative job titles, job levels, and generative engine optimisation prompts.
AI can recommend conditions and prompt sets based on the client, region, country, industry, and commercial objective.
The human decision owner decides what should be accepted.
This matters because every market is different. A client entering one region, industry, or category may need a different set of conditions from a client pursuing another market, buyer group, or commercial objective.
Measure AI Visibility
After the discovery logic is approved, Octomise runs the GEO Report.
The client can see how the brand appears across AI discovery journeys: prompts, scans, analytics, competitors, citations, sentiment, and recommended actions.
This shows where the brand is visible, where it is missing, which competitors are being surfaced, and which buyer questions create gaps.
AI visibility becomes something the client can measure and act on, not something guessed after the buyer has already formed a preference.
Prioritise Organisations
Octomise then turns the market universe into a selected account set.
The platform recommends organisations based on configured conditions, commercial fit, account signals, and relevance to the client's objective.
The client can accept the recommendations, remove accounts, or add organisations from the unselected list.
This keeps account prioritisation collaborative.
AI helps narrow the market.
The human decision owner decides where focus should go.
Map the Buying Committee
Once organisations are selected, Octomise maps the people who matter inside those accounts.
The Profile Home surfaces recommended decision makers and influencers across the functions most relevant to the client's category, market, and commercial objective.
The client can review profiles, validate roles, and understand which stakeholders are likely to care about different parts of the commercial problem.
The output is not just a contact list.
It is a buying committee view connected to the account conditions already approved in the workspace.
Select the Commercial Motion
The Overview Workspace translates account and buyer intelligence into commercial motions.
For each market, Octomise can show the dominant signals, priority patterns, buyer groups, and recommended entry points.
The client can use this to decide whether the right route to market is executive education, category creation, risk reduction, technology modernisation, event engagement, partner expansion, or another commercial motion.
The point is to avoid generic outreach.
The motion should match the reason the account is relevant.
Activate Engagement
Engagement is activated only after the client selects the action.
Inside the Engagement tab, the client can create LinkedIn connection actions, LinkedIn messaging, email sequences, one-time sends, follow-ups, surveys, event invitations, and other outreach workflows.
Messages can be AI-personalised, AI-assisted at a general level, uploaded from CSV, or written directly by the human decision owner.
The human decision owner can also write the message manually.
Nothing needs to launch automatically.
The client can preview, download, approve, save as draft, schedule, or launch when ready.
This is where Octomise turns intelligence into execution without removing human control.
Learn From Performance
The Activity Report shows how engagement performs.
Clients can review automations, live actions, completed actions, profiles targeted, replies, meetings generated, event RSVPs, survey participation, open rates, bounce rates, accept rates, and channel-specific outcomes.
The AI Generated Review summarises what is working, what is weaker, and what should improve.
More importantly, performance does not stay trapped in a report.
It feeds back into the workspace.
Engagement creates evidence.
Evidence improves account priorities, profile scores, buyer relevance, engagement choices, and next actions.
A Governed Client Workflow
Octomise is designed for clients who want AI speed without losing commercial judgement.
The client does not have to manually build every account list, buyer map, prompt set, or outreach sequence from scratch.
The platform recommends.
The human decision owner governs.
The workspace remembers what was approved.
Engagement creates new evidence.
The system learns from that evidence before the next decision is made.
That is the client workflow Octomise is built around.
AI assists.
Human governs.
Octomise learns.