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How the FieldKnown platform works

From unfamiliar market to an accountable next action.

FieldKnown combines business context, market mapping, targeting judgment, conversation preparation, and accountable next steps. Facts, inference, unknowns, approvals, and the reasoning behind each recommendation stay visible.

Understand the business first

Capture the offer, customer problems, commercial goals, geography, capacity, deal value, proof, and exclusions. Any inferred detail stays unverified until a person confirms it.

Define the market and ICPs

Build editable customer profiles, buying triggers, disqualifiers, relevant roles, and offer fit. For account-based B2B work, add company records manually or from approved files and exports; the current product does not claim direct access to proprietary prospect data or consumer lead databases.

Prioritize with visible evidence

Score each account across configurable factors such as ICP fit, problem fit, timing, value, access, geography, and evidence quality. Show contributions, deductions, missing information, and confidence instead of a mysterious number.

Prepare, act, and learn

Map buying roles, prepare evidence-based messages and call angles, assign one next action, and record replies, objections, meetings, wins, losses, and user edits. A person approves anything customer-facing.

See the workflow before requesting access

Start with the complete fictional demo.

The public demo uses labeled sample companies to show business intake, ICPs, account scoring, buyer roles, outreach preparation, and next actions. It is an account-based B2B workflow—not a consumer, homeowner, or MLS workflow—and is not connected to live prospect providers, a CRM, an inbox, or autonomous sending.

Approved inputs

Company records come from manual entry, approved files, CRM exports, and authorized providers—not invented or privately scraped data.

Transparent reasoning

Every priority can show the evidence, scoring factors, confidence, missing information, and date researched.

Human-controlled AI

AI can assist with bounded analysis and drafts; people approve facts, messages, commitments, and customer-facing actions.

The 5–50 employee range describes the FieldKnown customer's own company, not the size of the customers or prospects it may serve. The current interactive workspace models company accounts and buyer roles for account-based B2B work. It does not provide MLS access, live homeowner lists, buyer intent, consumer-record workflows, automatic prospect discovery, or autonomous outreach.