Solution: AI lead qualification
Too many inquiries and not enough time to answer them well
An AI agent reads every new inquiry, looks up the company, scores the fit against your criteria and routes it, so good leads get a fast reply and poor fits get a polite one.
Sounds familiar?
Signs this is costing you time
Inbound leads are valuable, but they are uneven. A few are ready to buy, many need nurturing and some will never be a fit. When everything lands in one inbox, your team answers in the order emails arrive, not in the order of value. Good leads wait while someone replies to a student project or a vendor pitch.
Speed matters too. Buyers often contact several providers at once, and the first useful reply has an advantage.
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Web forms, emails and chat messages pile up faster than sales can read them.
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Promising leads wait a day or more for a first reply.
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Reps spend time googling each company before deciding whether to call.
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The CRM fills with duplicates and half-complete records.
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Nobody knows which campaigns bring good leads and which bring noise.
Before and after
How it works today, and how it works after
How it works today
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Inquiries arrive through several forms and inboxes.
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Someone reads each one when they have time.
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Research on the company is done by hand, if at all.
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Leads are typed into the CRM, often incompletely.
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Good and bad leads get the same slow treatment.
How it works after
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Every inquiry lands in one queue within seconds.
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An AI agent summarizes the request and researches the company.
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Each lead is scored against your ideal customer criteria, with reasons.
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High-fit leads alert the right rep; others get a helpful automatic reply.
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The CRM record is created complete, and reps approve anything unusual.
What we build
What we build
Inquiry intake
Company research
Scoring model
Routing rules
Reply drafts
In practice
What it looks like in practice
An illustrative walk-through, not a client story.
A facilities company receives an inquiry through its website at 9 p.m.: a property group asking for maintenance support across four buildings. Within a minute, the agent has read the message, found the group's website, noted that it manages commercial buildings in the company's service area, and scored the lead as a strong fit because of the building count and the recurring nature of the work.
The sales lead gets a notification with a three-line summary, the score and the reasons, and a drafted reply suggesting a call. The lead edits one sentence and sends the reply before breakfast. The CRM already holds the contact, the company, the source campaign and the summary. A vendor pitch that arrived the same evening received a polite automatic reply and never reached her inbox.
Models and tools
AI models and MCP servers that usually fit
We choose models by task, data sensitivity and cost, and test them on your real examples before we commit. These are common starting points, not a fixed recipe.
How we build it
The services behind this solution
Most solutions combine two or three of our services. These are the ones this one usually needs.
AI agents
AI that takes actions in your systems, such as qualifying leads or processing requests, with people checking the results.
CRM integration
Connect your CRM to forms, email, billing and support so customer records stay complete without typing.
AI workflows
Step-by-step automations where AI handles the reading, sorting and drafting inside a process you control.
Industries where it fits best
Honest limits
Limits and human checks
AI scoring is only as good as the criteria you give it and the information it can find. Small or new companies may have little public information, and the agent can misread a vague inquiry. That is why every score comes with its reasons, and reps can correct it in one click. Corrections become examples that improve future scoring.
We recommend keeping a person in the loop for first replies to high-value leads, at least at first. Automatic replies work well for clear cases such as job applications, vendor pitches or requests outside your service area. The agent never makes promises about price or availability, and it is instructed to hand anything ambiguous to a person.
Data protection matters here, because inquiries contain personal details. We use AI services with business data terms, keep lead data in your own systems and log what the agent looked up.
Keep exploring
Services, industries and case studies
Related services
View all related services- AI agents AI that takes actions in your systems, such as qualifying leads or processing requests, with people checking the results.
- CRM integration Connect your CRM to forms, email, billing and support so customer records stay complete without typing.
- AI workflows Step-by-step automations where AI handles the reading, sorting and drafting inside a process you control.
- AI-Powered Web Development Business websites, customer portals, dashboards and web applications that load fast, rank well and are easy to change.
- AI Product Development AI agents, knowledge assistants, copilots and document automation built into the way your team already works.
- Business websites Fast, clear websites that explain what you do, rank in search and turn visitors into inquiries.
Solutions
View all solutions- Email triage Sort a shared inbox by topic and urgency, pull out the key details and draft replies for a person to send.
- AI sales research agent Short, sourced briefings on each prospect before a call, drafted by an AI agent from public information and your CRM.
- Meeting notes automation Transcribe meetings and calls, summarize decisions and push action items into your CRM or project tool.
- Screening assistant Summarize each application against your criteria, flag strong matches and missing information, and leave every decision to a person.
- AI automation and integrations Connect the tools you already use so data moves once, correctly, and AI reads the parts that arrive as text or documents.
- AI support agent An assistant that answers routine questions from your own content, checks orders and hands anything else to a person.
Industries
View all industries- Real estate Listing sites, lead handling, CRM automation and document workflows for agencies, brokers and developers.
- Professional services Client portals, proposal drafting, knowledge assistants and internal tools for consultancies, agencies and firms.
- SaaS and startups MVPs, subscription billing, AI features, multi-tenant platforms and scaling support for founders and product teams.
- Marketing agencies Landing pages, content workflows, client reporting and white-label development capacity for marketing agencies.
- Recruiting and staffing Candidate screening assistants, ATS integrations, interview notes and onboarding automation for recruiters and staffing firms.
- Tax and compliance services Client portals, document checklists, case queues and deadline tracking for tax preparers and compliance firms.
Guides and articles
View all guides and articles- What are AI agents and how do businesses use them? What AI agents are, real business uses, the controls they need and how to start with one safely.
- How to connect AI to your CRM Connect AI assistants to HubSpot, Salesforce or other CRMs safely, with the tasks worth automating first.
- AI chatbot vs AI agent What separates a chatbot that answers from an agent that acts, and when you need each.
- How to build an AI workflow with MCP servers Plan, connect and test an AI workflow that uses MCP servers, from a single task to a reliable process.
AI models
View all ai models- General purpose All-round language models for writing, summarizing, support, extraction and most everyday business tasks.
- Claude Sonnet 5 Anthropic's balance of speed and intelligence: a strong everyday model for assistants, document work, tool calling and coding.
- GPT-6 Luna OpenAI's most efficient model for focused, high-volume tasks, with vision, tool calling and structured outputs at the lowest price level in the family.
- GPT-6 Sol The middle model of the GPT-6 family, positioned for complex coding and agentic workflows at a mid price level.
- Claude Opus 5.5 Anthropic's recommended starting point for most serious work: long-running agentic coding and knowledge work, with a 1M token context window.
- Claude Haiku 4.5 Anthropic's fastest and lowest-cost Claude model, with near-frontier intelligence for high-volume and real-time work.
MCP servers
View all mcp servers- CRM and sales Servers that connect AI to CRM and support platforms, to look up customers, update records and prepare follow-ups.
- HubSpot HubSpot's official hosted MCP server lets AI search and manage CRM records, query CRM data and work with marketing emails, pages and posts.
- Salesforce Salesforce's official DX MCP server lets AI query data with SOQL, manage orgs and metadata, run tests and assign permission sets.
- Gmail Google's own Gmail MCP server lets AI search and read threads, manage labels and create drafts. It has no send tool.
- Intercom Intercom's official hosted MCP server lets AI search conversations, contacts, companies and help articles, create articles and add notes.
- Pipedrive Pipedrive's official hosted MCP server, in beta, lets AI search deals, people, organizations and leads, and create and update records.
Glossary terms
View all glossary terms- AI agent An AI agent is software that uses a language model to plan steps, call tools and act toward a goal, instead of only answering one question.
- CRM A CRM, or customer relationship management system, stores contacts, companies, deals and interactions so a team can manage its customer relationships in one place.
- Zero-shot classification Zero-shot classification is sorting text or images into categories an AI model was not specifically trained on, using only the category names or descriptions.
- Artificial intelligence Artificial intelligence is the broad field of building software that performs tasks that normally need human judgment, such as understanding language or images.
- Automation Automation is using software to perform a task or process with little or no human effort each time it runs.
- Function calling Function calling is a model feature that lets an AI model request a specific function, with structured inputs, for the application to run.
FAQ
Questions about AI lead qualification
Have a question that is not here? Ask us directly.
It reads the inquiry, looks up information about the company, compares both against the criteria you define and produces a score with reasons. A person can review and adjust any score. The approach is described in our AI agents service.
Only if you want it to, and only for the cases you choose. Most clients start with AI-drafted replies that a rep approves, then allow automatic replies for clear, low-risk cases.
HubSpot, Salesforce, Pipedrive, Zoho and others with an API. See CRM integration.
A first version for one inquiry channel usually takes a few weeks, including testing the scoring on your past leads. More channels and custom routing add time.