Learn when to use rules-based or predictive lead scoring, why data quality matters, and how to test machine learning against your existing process.
Lead qualification is deciding what should happen next to an enquiry. Learn how evidence, rules, outcomes and human judgement improve lead decisions.
How law firms can structure website intake to spot urgent, relevant matters faster without replacing professional legal review.
A self-improving website connects visitor behaviour to commercial outcomes, proposes changes based on evidence, tests them with human approval, and retains what it learns. Here is the six-stage model.
What happened when a startup founder tried to build an AI-powered strategy function — and discovered that better reasoning wasn't enough without broader search.
TailyX failed its first OpenAI App review on a schema mismatch, not policy. Here's the bug, the fix, and what we test before every submission now.
Research comparing predictive models against rule-constrained qualification shows why deterministic scoring beat a chatbot for lead qualification.
A working map of llms.txt, auth.md, OpenAPI, and MCP manifests — which are real standards, which are proposals, built while implementing them.
How TailyX built a production MCP server on Rails 8 — architecture, tool design, authentication, and testing lessons from real deployment.
AI agents already probe your API endpoints daily. TailyX's own discovery logs reveal a growing agentic funnel — and where it currently breaks.
Three recent funding rounds suggest a new AI agent infrastructure stack is forming. But one critical layer — how businesses safely receive and govern agent interactions — remains largely overlooked.
Lead scoring ranks prospects by engagement. Lead qualification decides whether they're worth pursuing. Here's why the difference matters for your sales team.
The majority of website enquiries are browsers, tyre-kickers, or non-prospects. Here's what happens when you stop chasing all of them.
Most businesses jump straight from lead capture to sales follow-up. The qualification layer in between is where the biggest efficiency gains are hiding.
Getting found by AI agents is the easy half of the problem. The half that decides what a visit is worth — human or agent — is the one almost nobody is building yet.
Most property agents treat every inbound enquiry the same. Here is why that costs you listings, and how automatic qualification changes the outcome.
Buyers are 90% through their decision before talking to sales. That changed where AI earns its keep — and why we shut down our chatbot to build a scoring and enrichment engine instead.
Professional services firms don't have a lead problem — they have a response-time problem. Here's the operating system that fixes it.
TailyX sits between your inbox and your practice management tool — qualifying inbound enquiries automatically without replacing the tools you already use.
Your contact form treats every enquiry the same. But your best clients are the least likely to wait. Here is why the standard contact form is costing professional services firms their most valuable mandates.
Compare BANT, MEDDIC and SPIN for inbound lead qualification, and see how structured website intake can support each framework before the first call.
Most professional services firms run campaigns that produce clicks but not clients. Here's why your contact form is the bottleneck — and what campaign attribution inside the qualification flow actually looks like.
Comparing lead qualification software for law firms, accountants, and consultants — contact forms, Typeform, Chili Piper, HubSpot, and chatbots, and what actually works without a CRM.