Sales · Frontier · updated 2026-10-23
Inbound lead research and qualification agent
Every inbound form fill gets a deep-research pass on the person and company, a structured qualification verdict, and a drafted reply. A human approves in Slack with one click before anything is sent.
Building block of the Inbound lead agent with voice follow-up.
1Is this my problem?
Vercel had 10 people triaging website leads. Their top performer said the research step was the part they never wanted to do again. After the agent, one person handles that work and the other nine moved to more complex sales work.
You'll recognise this if…
- Reps research every form fill by hand.
- Spam and support requests land in the sales queue.
- Follow-up quality depends on who picks the lead up.
2Is this solution worth it?
Reported results
- Vercel: one person now does the lead-triage work previously done by 10 (source)
Quoted from the linked source; results vary.
Your ROI, with the assumptions shown
Prefilled with illustrative assumptions (15 h/week at $55/h, 60% automated, build $15,000). Change them to your numbers.
Limits and when not to build it
Skip it if: Under ~50 leads a month.
- Shadow your best SDR first and copy their actual checklist into the research prompt; generic prompts give generic research.
- Keep the qualification output a strict schema, not prose, so routing rules stay deterministic.
- Log every rejection reason from the Slack step and feed it back into the prompt monthly.
3How does it work?
One small internal tool does this for you. The same job, before and after:
Before · by hand
- Website contact / demo form: someone notices
- Research agent: company site, news, LinkedIn, funding
- Qualify with a fixed schema (generateObject) (by hand)
- Draft personalised follow-up email (by hand)
- Slack card: approve / edit / reject
- On approval: send email, write CRM
Inbound lead research and qualification agentIllustrative
- Starts automatically: website contact / demo form
- Research agent: company site, news, LinkedIn, funding
- AI: Qualify with a fixed schema (generateObject)
- AI: Draft personalised follow-up email
- Slack card: approve / edit / reject
- On approval: send email, write CRM
✦ AI step · ● human checkpoint · ✓ automatic
Two separate jobs: open-ended research (tool-calling agent with web search) and a constrained classification step that must return a typed object (category, reason, confidence). Splitting them makes the output predictable enough to put in front of reps.
- Qualify with a fixed schema (generateObject)
- Draft personalised follow-up email
Your tool connects to
Under the hood: flow, architecture and vendors
- When: Website contact / demo form
- Research agent: company site, news, LinkedIn, funding
- Qualify with a fixed schema (generateObject)
- Draft personalised follow-up email
- Slack card: approve / edit / reject
- On approval: send email, write CRM
Architecture
Vendors commonly used
Maturity ladder
What each level adds. Most teams start at level 1 or 2 and climb. Highlighted: where this build sits.
- Level 1Basic automation
Trigger: website contact / demo form. Fixed rules then research agent: company site, news, linkedin, funding, slack card: approve / edit / reject, on approval: send email, write crm. No AI involved.
- Level 2AI-assisted
An LLM handles the judgement step (qualify with a fixed schema (generateobject)) and a person reviews every output before it is used.
- Level 3Autonomous agent
The agent runs end to end on its own and only stops for exceptions. Every outbound email is approved by a person in Slack.
- Level 4Self-learning system
Becomes part of the inbound lead agent with voice follow-up: Reps tag bad qualifications.
Level 4 lives in the Inbound lead agent with voice follow-up: 6 stages with a learning loop.
Seen in the wild
- Vercel: what we learned building agents at Vercel
- Vercel Labs: open-source lead-agent template (GitHub)
Links checked 2026-10-23. We describe these builds from public material; we are not affiliated with these companies.
4Who can build it?
Matched on services, platforms and industries agencies list on their own sites, and on their published projects.
flowioGlasgow, United KingdomWhy matched: Lead generation; Sales automation; uses OpenAI, HubSpot, Salesforce.
Related project: AI Automation Case Study: Edinburgh Boiler Company — Discover how flowio used AI Voice and SMS agents to cut lead response times from 1 day to 5 minutes for The Edinburgh Boiler Company.
Published price: From £750
AzumoSan Francisco, United StatesWhy matched: Lead generation; Sales automation; uses OpenAI, HubSpot, Salesforce.
Example project: Voice AI: Production AI Receptionist — Azumo built a production AI receptionist from scratch and runs it on its own business phone line. 1.7s median response. Zero downtime. 76% o…
Published price: From $10,000
CashTreeScottsdale, United StatesWhy matched: Lead generation; Sales automation; uses OpenAI, HubSpot, Salesforce.
No published price
Agentum AILos Angeles, United StatesWhy matched: Lead generation; Sales automation; uses OpenAI, HubSpot.
Example project: A real estate KPI dashboard that runs a team’s bonus structure — Built inside GoHighLevel, tracking every role’s performance and calculating bonuses automatically. About the company Next Chapter Property S…
No published price
VKAPS IT Solutions Pvt. LtdIndiaWhy matched: Lead generation; Sales automation; uses OpenAI, HubSpot.
Example project: Responsive Slides — Empowering businesses with cutting-edge AI and technology solutions…
No published price
HypergenMelbourne, AustraliaWhy matched: Lead generation; Sales automation; uses OpenAI, Salesforce.
No published price
Projects, tools and prices come from each agency's own website (crawled October 2026). Not paid placements.
Part of the starter packs: First head of sales, The frontier set.
5What should I do next?
Questions
What does a "inbound lead research and qualification agent" automation do?
Every inbound form fill gets a deep-research pass on the person and company, a structured qualification verdict, and a drafted reply. A human approves in Slack with one click before anything is sent.
Which tools can I use to build it?
Common choices are Vercel AI SDK, Next.js, Slack, Salesforce, HubSpot, OpenAI, Exa. Teams often use Vercel AI SDK, Next.js, Slack together; the right mix depends on what you already pay for. n8n, Make and Zapier can all handle the workflow steps.
How much does it cost to build?
As a rough estimate, agencies often quote $8k–$25k for a first version of this workflow, plus monthly tool and AI usage fees. Your quote depends on how many systems are involved and how clean your data is.
How much time does it save?
Our estimate for a small team is about 10–25 hours a week. This is a rough guide, not a measured result; measure your own baseline before you start.
Where does AI actually help?
Two separate jobs: open-ended research (tool-calling agent with web search) and a constrained classification step that must return a typed object (category, reason, confidence). Splitting them makes the output predictable enough to put in front of reps.
Who actually runs this?
Public examples include: Vercel: what we learned building agents at Vercel; Vercel Labs: open-source lead-agent template (GitHub). Reported: Vercel: one person now does the lead-triage work previously done by 10.
Where should a person stay in the loop?
Every outbound email is approved by a person in Slack.
What usually goes wrong?
Shadow your best SDR first and copy their actual checklist into the research prompt; generic prompts give generic research. Keep the qualification output a strict schema, not prose, so routing rules stay deterministic. Log every rejection reason from the Slack step and feed it back into the prompt monthly.
Related workflows
Ops builds enrichment and contact-finding workflows once (waterfall across many data vendors); reps call them from the AI chat they already use to get account context, buying signals and verified contacts..
Sales call transcripts to CRM fieldsAfter each recorded call, the transcript is filtered by deal stage, summarised, and specific fields (pain, competitors, next steps, objections) are written to the opportunity.
Pre-call account brief in SlackBefore each customer or prospect call, AI reads the HubSpot record, researches the company, lists the automation challenges they are likely facing, and posts a short brief to the rep in Slack..
Lead enrichment and routing in SlackNew HubSpot contacts or Slack-posted domains are enriched with firmographics, scored against your ICP and replied to in-thread with a summary, so the right rep picks them up..