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Scaling Personalized B2B Outreach for an AI Consulting Firm

B2B SalesOutreach AutomationAI Content GenerationLead Generation
14×
Faster outreach than manual process
3×+
Reply rate vs generic outreach baseline
140 hrs
BD research and writing time reclaimed per quarter
Timeline: 3 days from setup to first campaign sent
Team: 1 AiGiri engineer (setup) + 2 BD team members (review and approval)
Industry: Professional Services

The Challenge

A boutique AI consulting firm had identified 60 target companies for their next business development push. Their BD lead was spending 3+ hours per company to research the prospect, identify the right contact, understand their pain points, and write a personalized email that didn't feel like a template. At that pace, reaching all 60 companies would take over four weeks — by which time half the opportunities would have moved on.

Proposed Solution

AiGiri Outreach was deployed as the firm's BD intelligence and content engine. Service capabilities were documented in the knowledge base with ICP definitions, pain points, and outcome statements. Playbooks were built for each offering. All 60 prospect companies were imported and enriched with signals. The opportunity matching engine scored every company-capability pair, and Claude generated a research-grounded personalized email for each selected contact.

Proposed Approach

The setup began with a capability audit — five service offerings were structured with ICP definitions, pain point lists, and outcome metrics. Each capability got a playbook: a positioning angle, a case study hint, and a CTA strategy. The 60 target companies were bulk-imported from a spreadsheet, contacts added, and intelligence signals enriched manually and via web research. The matching engine ran against all 60 companies simultaneously and returned a prioritised opportunity list with LLM-written rationale. The BD lead reviewed the ranked list, selected 40 high-confidence opportunities, and triggered content generation. All 40 emails were automatically QA-checked and surfaced in the approval queue within 15 minutes. The team edited 6, approved all 40, and the campaign was sent that afternoon.

Key technical decisions

Playbooks built per capability (not per industry) gave the AI a consistent, testable positioning angle
Signal enrichment before matching gave Claude concrete, specific hooks rather than generic industry assumptions
Two-layer opportunity scoring (rule engine + LLM) surfaced matches the team wouldn't have identified manually
Human approval gate maintained — no email sent without BD review — preserving relationship quality at scale

Proposed Outcome

The firm reached all 60 target companies in 2 days — a process that previously took over four weeks. Each email referenced real company signals and was grounded in the right capability pitch. The campaign returned 11 positive replies in the first week, a reply rate more than 3× above their previous outreach baseline. The BD lead reclaimed roughly 140 hours of research and writing time over the quarter.

"We were drowning in our own prospect list — 60 companies we knew we should be talking to, but no bandwidth to reach them properly. AiGiri Outreach changed that. The emails it generated weren't just competent — they were better than what we'd write ourselves under pressure. We sent 40 personalized emails in an afternoon that would have taken our BD lead four weeks to write manually."

Vikram Nair
Head of Business Development, a boutique AI consulting firm

Product used

B2B Sales & Outreach Automation

AiGiri Outreach

Research to reply, at scale.

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