TechOneDigital Start a pilot

Sales & Marketing

AI Lead Research

Company research with cited sources before anyone writes a line.

Available now · Human approval · Complete audit trail

The operational problem

A complete-looking profile can still be unsupported

Sales research fails quietly when an old source, a namesake company or an inference is copied into the CRM as fact. The record looks finished, but nobody can check it when a rep needs to rely on it.

This service starts with a target list or profile, uses only agreed sources and keeps the citation beside every material field. Missing or ambiguous facts are flagged instead of filled with a plausible answer.

Research record

What a usable account profile contains

Company identity

Legal name, domain, location and other matching fields prevent research from crossing into a namesake.

Qualification fields

Size, sector, technology or other agreed attributes map directly to the target profile.

Commercial signals

Relevant events are recorded with source, publication date and the date of the underlying event when available.

People and roles

A named person is included only when identity, current role and source can be supported.

Uncertainty

Conflicts, weak matches and unsupported fields stay visible for human judgement.

Method

How a company becomes a source-backed profile

  1. Define the research schemaRequired fields, target criteria, allowed sources and freshness rules are agreed first.
  2. Resolve company identityDomain, legal entity and other identifiers are matched before facts are collected.
  3. Gather source-backed factsEvery material field keeps its URL and evidence date beside the value.
  4. Separate fact from inferenceInterpretation is labelled and unsupported assumptions do not become CRM facts.
  5. Flag conflicts and gapsContradictory or missing evidence is sent to review rather than silently resolved.
  6. Map approved profiles to CRM fieldsThe output follows the agreed schema so a person can approve import without reformatting it.

Example batch

Coverage and uncertainty are visible

Illustrative research-batch summary — no real target accounts

Companies
50
Sources per company
3 to 6, cited
Fields
Size, trigger, decision maker
Unsure
4 profiles flagged
Export
CRM

Research discipline

The rules behind evidence-aware research

Identity before enrichment

Research stops when the company cannot be matched confidently to the intended domain or entity.

Every material fact is inspectable

A rep can open the supporting source without repeating the entire research task.

Freshness belongs to the fact

The source date and event date are retained because an old true statement may no longer be useful.

Unknown is better than invented

A blank or flagged field protects the next decision more than a polished unsupported answer.

Fixed start

What the 50-company batch delivers

  • Fifty company profilesRecords produced against the agreed target and CRM schema.
  • Field-level citationsMaterial facts retain their source and date beside the value.
  • Fit and signal summaryEach profile shows which qualification criteria and commercial signals were supported.
  • Uncertainty queueAmbiguous identities, conflicts and unsupported fields are grouped for review.
  • CRM-ready exportApproved profiles use the field names and formats agreed at the start.

Fit

When AI research is—and is not—the right tool

A good fit

  • Your team has a target profile but spends too much time assembling basic account evidence.
  • CRM fields and research priorities can be defined before the batch begins.
  • Reps need citations and freshness, not merely a list of names.

Not the right fit

  • The objective is to collect private personal data or bypass source restrictions.
  • No one can define which fields or evidence make a company relevant.
  • The output is expected to be complete even when public evidence does not exist.

Where the human approves

You decide which profiles to use. The AI works through a fixed list of allowed operations; every approval and result is logged.

Research questions

Questions a sales team should ask

Which sources can the research use?

Only the public or licensed sources agreed for the batch. The source list and any exclusions are recorded before research starts.

How do you handle conflicting company information?

The conflict and both sources are retained for review. The service does not silently select the more convenient value.

Can the AI infer a decision-maker?

It can label a role as a research hypothesis, but a named person and current role require supporting evidence before becoming a fact.

How fresh are the results?

Each material fact keeps its source and evidence date. The batch can apply specific freshness rules to time-sensitive fields.

Can profiles be imported directly into our CRM?

The output can match your CRM schema. Import remains an approved step so duplicates, ownership and required fields can be checked first.

Experience behind the service

Built from evidence-aware account research

The method comes from TechOne research workflows that combine allowed-source browsing, field-level citations, identity resolution, uncertainty flags and CRM-shaped output. Target companies and customer research data remain private.

Technical stewardship: David Máj, Founder & Technology Consultant. Last reviewed 24 September 2026.