A BUILDCLUB PRODUCT
Outbound sales. Inbound qualification. Appointment setting. Customer service. CRM data hygiene. Every front-of-house workflow runs on the same operational reality — repetitive correspondence, tool-switching between Salesforce and the inbox and the calendar and the support platform, and CRM records that go stale because nobody has time to update them.
BuildClub deploys agents on every layer of the front-of-house — the outbound motion, the inbound qualification, the appointment setting, the customer service triage, and the CRM hygiene that ties the whole thing together. Your existing GTM stack — Salesforce, HubSpot, Gong, Outreach, Salesloft, Intercom, Gainsight, Zendesk — stays exactly where it is. We deploy agents inside it.
Request a conversation →The Front-of-House Stack is independently engageable — it does not require any other BuildClub phase or product. It can be delivered inside Phase 1 · Amplify, deployed as part of Phase 2, or scoped entirely on its own. Engage it whenever your front-of-house motion is ready.
The Front-of-House Stack is a coordinated deployment of AI agents on the workflows your customer-facing teams run on every day. Not a SaaS product — a custom deployment built inside your existing GTM tools. Agents that handle outbound prospecting, inbound qualification, appointment setting, customer-service triage, and CRM data hygiene — all working inside Salesforce, HubSpot, Outreach, Gong, Intercom, Zendesk, Gainsight, or whatever combination your company runs on.
The goal is leverage on your customer-facing team. Same headcount, materially more touchpoints. Faster qualification, tighter follow-up, cleaner data. Most importantly: your CRM gets updated automatically — call summaries, activity records, opportunity stage changes, contact enrichment — without a human typing them in.
During Phase 0, the following task clusters surface again and again across customer-facing teams. They are where BuildClub typically focuses first.
| Workflow | What's manual today | Agent opportunity |
|---|---|---|
| Outbound prospecting | SDRs and AEs draft outreach sequences manually, personalize each one, follow up across email and LinkedIn, and track responses across multiple tools. | Outbound personalization agent. Multi-channel sequence orchestration. Reply-handling and routing agent. |
| Inbound qualification | Inbound leads sit unanswered while SDRs work through queues. First-touch responses come hours after form submission. Qualification quality varies by who's working that shift. | Inbound triage and routing agent. First-touch response drafting. Qualification screening conversation. |
| Appointment setting | SDRs and CSMs spend significant time scheduling, rescheduling, and chasing meeting confirmations across calendar tools, email, and SMS. | Appointment-setting agent with calendar integration. Multi-channel reminder and confirmation orchestration. |
| Customer service tier-1 | Support teams sort, tag, and route tickets manually. First-touch responses come from templates with manual adjustment. Tier-1 patterns repeat hundreds of times. | Ticket triage and routing agent. First-response drafting on tier-1 patterns. Self-serve agent deployment for common queries. |
| Sales engineering pre-call research | SEs spend hours per prospect digesting product fit, competitive context, technical environment before discovery calls. Repeated across every new opportunity. | Pre-call research brief agent fed by the Company Brain. Account-context summary agent. |
| Outbound text and voice motion | Outbound SMS and voice motions are either neglected (no team to run them) or staffed at high cost (BDR teams burning out on dials). | Conversational outbound agent for SMS. Voice-agent deployment for outbound dial motion with handoff to human SDR on qualified intent. |
| CRM data hygiene and call capture | Reps don't update Salesforce after calls. Activities go unlogged. Opportunity stages don't move. Contact enrichment falls behind. RevOps complains; nothing changes. | Call recording → Salesforce sync agent. Email-to-activity logging. Opportunity stage advancement agent. Contact enrichment agent. |
| Conversation intelligence | Gong, Chorus, or similar tools capture calls — but nobody reviews the recordings except managers, occasionally. The insight stays trapped. | Conversation insight agent. Coaching note drafting. Pattern surfacing across the call corpus. |
What's manual today
SDRs and AEs draft outreach sequences manually, personalize each one, follow up across email and LinkedIn, and track responses across multiple tools.
Agent opportunity
Outbound personalization agent. Multi-channel sequence orchestration. Reply-handling and routing agent.
What's manual today
Inbound leads sit unanswered while SDRs work through queues. First-touch responses come hours after form submission. Qualification quality varies by who's working that shift.
Agent opportunity
Inbound triage and routing agent. First-touch response drafting. Qualification screening conversation.
What's manual today
SDRs and CSMs spend significant time scheduling, rescheduling, and chasing meeting confirmations across calendar tools, email, and SMS.
Agent opportunity
Appointment-setting agent with calendar integration. Multi-channel reminder and confirmation orchestration.
What's manual today
Support teams sort, tag, and route tickets manually. First-touch responses come from templates with manual adjustment. Tier-1 patterns repeat hundreds of times.
Agent opportunity
Ticket triage and routing agent. First-response drafting on tier-1 patterns. Self-serve agent deployment for common queries.
What's manual today
SEs spend hours per prospect digesting product fit, competitive context, technical environment before discovery calls. Repeated across every new opportunity.
Agent opportunity
Pre-call research brief agent fed by the Company Brain. Account-context summary agent.
What's manual today
Outbound SMS and voice motions are either neglected (no team to run them) or staffed at high cost (BDR teams burning out on dials).
Agent opportunity
Conversational outbound agent for SMS. Voice-agent deployment for outbound dial motion with handoff to human SDR on qualified intent.
What's manual today
Reps don't update Salesforce after calls. Activities go unlogged. Opportunity stages don't move. Contact enrichment falls behind. RevOps complains; nothing changes.
Agent opportunity
Call recording → Salesforce sync agent. Email-to-activity logging. Opportunity stage advancement agent. Contact enrichment agent.
What's manual today
Gong, Chorus, or similar tools capture calls — but nobody reviews the recordings except managers, occasionally. The insight stays trapped.
Agent opportunity
Conversation insight agent. Coaching note drafting. Pattern surfacing across the call corpus.
Phase 0 starts in the customer-facing functions — SDRs, AEs, SEs, CSMs, support. We sit with each function, watch the workflow, and quantify the operational hours per cluster. The output is a ranked roadmap of agent opportunities — which clusters to deploy first, what tools they integrate with, what the impact looks like on pipeline velocity, response time, and CRM data quality.
Phase 1 deploys the foundation — Claude or your AI tool of choice integrated into Salesforce, HubSpot, Outreach, Gainsight, Intercom, and whatever else you run on. Training runs by function. If you also engage the Company Brain (separately scoped, standalone knowledge layer), it ingests your product documentation, sales enablement library, ICP definitions, pricing logic, and historical deal context. Light automations clean up the recurring report cadence and meeting summary distribution.
Phase 2 deploys the agent stack. Outbound personalization. Inbound triage. Appointment setting. Tier-1 support. CRM hygiene. Each agent scoped tight, monitored, and built to feed your CRM automatically. The agents sit inside your existing GTM stack — they don't replace it.
Composite example — illustrative of typical engagements, not based on a single client.
A growth-stage company with a customer-facing team of roughly 60 — SDRs, AEs, SEs, CSMs, and support. The presenting pain is uneven motion: inbound leads sit, outbound feels generic, customer service queues spike at predictable times, and CRM data is so unreliable that RevOps spends most of its time reconciling rather than analyzing.
Phase 0 surfaces four primary clusters. First, inbound qualification — first-touch response time is averaging 4+ hours, with quality variance that's hurting MQL-to-SQL conversion. Second, outbound — SDRs are drafting sequences manually, and personalization at scale isn't happening. Third, customer service tier-1 — same patterns of questions hitting the support queue every day. Fourth, CRM hygiene — opportunity stages, contact data, and activity logs are stale because reps don't update them.
Phase 1 deploys the AI tool stack across the customer-facing functions. Where Company Brain is engaged alongside Phase 1, the standalone knowledge layer ingests product documentation, ICP definitions, sales playbooks, and the support team's resolution library. Training cohorts run for SDRs, AEs, SEs, and support. Light automations clean up the meeting summary distribution and recurring report cadence.
Phase 2 deploys an inbound triage agent (first-touch response under 3 minutes), an outbound personalization agent (drafted sequences with prospect context pulled from the Company Brain), a tier-1 support agent (deflection on the most common patterns), and a CRM hygiene agent (post-call summaries flowing into Salesforce automatically, activity logging, opportunity stage advancement on signal). Illustrative outcome: inbound first-touch response time reduced from hours to minutes, outbound personalization quality lifted across the SDR team, tier-1 support deflection meaningfully improved, and CRM activity logging coverage at near 100% without rep effort.
Not another SaaS product. We are not 11x. We are not Regie. We are not Apollo, Outreach, or Salesloft. We don't sell software you bolt on. We deploy AI agents inside your existing GTM stack — built to your specifications, integrated with your tools, owned by you.
Not a replacement for your CRM or marketing platform. Salesforce stays. HubSpot stays. Gainsight stays. Outreach stays. Whatever you run on stays exactly where it is. The agents sit on top of it, work inside it, and write back to it.
Not a pilot program. Phase 2 produces production-ready agents with monitoring, fallback logic, human-in-the-loop where it matters, and clear performance dashboards. The agents are deployed into the daily workflow of your customer-facing teams from day one — not as experiments, but as part of how the team operates.
Scoped per engagement
Typically 8–16 weeks for first wave
Final pricing for your engagement is confirmed during scoping. Most Front-of-House Stack engagements fall in line with Phase 1 or Phase 2 investment ranges.
For most growth-stage clients, the Front-of-House Stack is delivered as part of Phase 1. The customer-facing functions get the AI tool stack, the training, the Company Brain (when engaged), and the front-of-house agents in one coordinated engagement.
See Phase 1 →Engage the Front-of-House Stack without Phase 1 or any other engagement. Common for clients who have already done their AI rollout but need agents specifically on the customer-facing motion.
The Front-of-House Stack pairs naturally with Phase 2's broader agent deployment. Many clients start with front-of-house agents in Phase 2's first wave, then expand to back-office clusters in subsequent waves.
See Phase 2 →Tell us about your front-of-house team and existing GTM stack. We'll identify which agents to deploy first.
Request a conversation →