Sales automation should help your team understand a lead and decide the next useful action. EidenTech can scope workflows that intake prospect records, research approved information, apply agreed scoring rules and prepare outreach context. We keep evidence, inference and commercial decisions distinguishable, so a ranked list or generated message remains understandable rather than becoming an unexplained automatic sales decision.
How we approach your project
Translate the ideal customer into reviewable criteria
We begin with your ideal customer profile and the evidence that supports each condition. Industry, business model, operating region and a specific buying signal may influence qualification differently. The workflow distinguishes mandatory criteria from preferences and assigns a reason when information is missing. A spreadsheet import gets column mapping, row validation and duplicate handling before research begins. The team can review the criteria and weighting instead of accepting an opaque model score. We also identify what remains a salesperson’s judgement, such as whether a company’s stated problem matches your offer.
Research with sources and uncertainty visible
Company research can gather relevant public information and retain useful source references. We define approved research methods, the fields to collect and how recently information should be checked. A growth signal should remain tied to its evidence rather than become an invented claim about purchasing intent. Contact-format validation, contact verification and permission to contact are separate questions. Unsupported details remain unavailable or clearly marked as inference. The review interface helps the sales team inspect the information that led to a priority before acting on the recommendation.
Connect qualification to a responsible CRM handoff
The resulting lead record should contain the context needed for follow-up, an owner and an agreed next step. We map the destination fields and decide whether research creates a new record, updates an existing contact or adds an activity. Generated summaries and suggested messages remain identifiable as prepared content. Outreach execution receives separate approval, consent and provider-capability review; researching a company does not by itself authorise sending a message. If a batch fails partway through, the system retains row outcomes and can resume the appropriate records without repeating completed writes.
Review scoring and follow-up quality with the team
Evaluation uses representative leads reviewed by your sales owner, including strong matches, poor matches and records with incomplete evidence. We inspect scoring explanations, incorrect fields and the usefulness of proposed outreach context. Confirmed CRM outcomes and staff decisions provide a better basis for iteration than claiming that every researched record is qualified. EidenTech’s Quality Lead project is in development and covers CSV or Excel batches, researched intelligence, weighted scoring and outreach insights. New sales automation is scoped against your own criteria, approved data use and supported tools, with no promised conversion rate.
What we can deliver
We agree the requirements and responsibilities before development begins. Your project scope can include:
- An ideal-customer and qualification specification with explicit criteria and unknown states.
- Validated lead intake and approved research with retained evidence references.
- Reviewable scoring, prioritisation and outreach preparation suited to your sales process.
- A supported CRM handoff, batch recovery and an evaluation plan for sales-owner review.
Technology choices for your requirements
The stack follows your integrations, operating model, and maintenance needs. These are options to review during discovery, rather than a fixed stack promised for every project.
- Validated CSV or Excel intake and structured lead records
- Supported research and generation APIs with source references
- Deterministic scoring rules and review interfaces
- Server-side CRM connections and durable batch processing
Planning questions, answered
Can we upload leads from an Excel or CSV file?
Yes. We can scope column mapping, validation, duplicate handling and row-by-row outcomes. The proposal defines which existing fields are preserved, which are researched and how incomplete records are shown to the person reviewing the batch.
Can the system score leads against our own ICP?
Yes. We can translate your criteria into explicit qualification rules and weighting where appropriate. Evidence and explanations should accompany the score. Missing information remains distinct from a confirmed mismatch, and your sales owner reviews how the ranking supports decisions.
Will it automatically send messages to prospects?
Sending is a separate capability to scope against your permissions, outreach process and provider requirements. A first release can prepare reviewed messages and CRM tasks. We define approval and contact-use responsibilities before any automatic external communication is enabled.
How do you distinguish real buying signals from guesses?
We define the signal and retain the source that supports it. Generated interpretation remains labelled and reviewable. Research can suggest a reason to investigate, but it should not represent inferred purchasing intent or a speculative opportunity as confirmed customer demand.
Tell us what needs to work better.
Share your idea, existing workflow, and the outcome you need. We will help shape a practical starting point.
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