Craft vs Revin AI

Comparison at a glance

Craft and Revin are both credible options for home-services operators that need more than an after-hours receptionist. Each can handle inbound demand, work outbound opportunities, book into connected systems, and transfer a customer to a person. The important difference is how each platform organizes the work.

Craft is a modular home-services front office. Its AI CSR, Text Agents, contact-center guidance, automated QA, analytics, follow-up, and field-sales coaching can connect AI and human performance across a wider revenue operation. Revin is a configurable automation program built around voice. Its agents span calls, SMS, and email while applying detailed ServiceTitan, LeadPerfection, and other CRM/FSM rules to booking, recovery, renewal, and appointment workflows.

Where the platforms differ

Craft builds a wider front-office layer

Craft joins several jobs that home-services companies often buy separately. Its AI CSR handles calls; Text Agents work digital demand and follow-up; contact-center tools guide human agents, create notes, score conversations, and surface coaching; and field-sales tools extend recording and coaching into the home. That is a strong fit when leadership wants AI and people to improve inside the same revenue system.

The integration catalog reinforces that model. Craft names major home-services, CRM, and phone systems and provides a bidirectional API for appointments, recordings, summaries, extracted fields, notes, context, and triggers. A multi-brand operator or home-improvement company with a varied stack can use Craft as a common layer without making every team adopt the same underlying system.

Revin builds deeper configurable journeys

Revin organizes its value around agents that perform complete customer journeys. Voice is the primary channel, while SMS and email extend the same program into speed-to-lead, rehash, estimate follow-up, confirmations, cancellation recovery, renewals, and appointment management. Its ServiceTitan and LeadPerfection workflows show how an agent can use operational data, not just a script, to decide what happens next.

That detail is useful for complex operators. Revin can account for capacity, pricebook and job types, business units, customer and equipment records, memberships, technician fit, tags, multiple tenants, project data, budget, timeline, and decision-maker status. Its dedicated or forward-deployed engineer turns the purchase into an ongoing agent program rather than a one-time bot configuration.

Inbound and outbound voice

Craft’s AI CSR is an always-available inbound front line. It can identify why the customer is calling, qualify the opportunity, work through common objections, check live availability, book, update the connected record, and transfer to a person with context. That call then feeds Craft’s wider QA and coaching layer, which is valuable when leaders want to compare AI behavior with human CSR performance.

Revin covers new service requests, existing-customer support, appointment changes, lead intake, overflow, and after-hours calls. Its advantage appears when the conversation must branch through detailed operating rules: customer status, equipment and membership context, business unit, capacity, job type, technician fit, or a multi-tenant structure. Revin also makes live CSR takeover part of the escalation model for selected conversations.

Outbound is meaningful on both platforms. Craft connects missed demand and digital lead response to follow-up queues such as aged leads, unsold estimates, cancellations, reminders, and nurture. Revin presents a particularly clear campaign set around speed-to-lead, lead rehash, estimate recovery, confirmations, cancellations, and membership renewals.

The deciding voice test is operational, not cosmetic. Run the same member call, emergency, full-capacity day, unsupported service request, existing appointment, duplicate customer, no-answer transfer, cancellation, and failed CRM/FSM write through both products. Score the resulting customer match, qualification, job type, slot, transfer, notes, disposition, and recovery path.

Channels, booking, and escalation

Speed-to-lead, messaging, and follow-up

Craft’s digital-lead story begins at the source. Its Text Agents respond to web, Meta, aggregator, form-fill, and missed-call leads, then qualify, prioritize, book, confirm, remind, reschedule, re-engage, and recover. Email and web-chat context broaden that journey beyond SMS. Craft is attractive when marketing, inside sales, the contact center, and field sales all need shared lead context.

Revin explicitly offers inbound and outbound voice, SMS, and email. That makes it a strong choice when a configured agent should move between channels throughout a defined campaign or service journey. Its follow-up library is especially relevant to teams with large pools of aged leads, unsold estimates, cancellations, and expiring memberships.

Both can deliver fast response; the difference is what surrounds it. Craft ties speed-to-lead into a wider modular front office and performance stack. Revin ties it into configurable campaigns and CRM/FSM actions. In either product, test identity matching, channel history, consent, suppression, retries, staff takeover, and whether a booking automatically stops the remaining sequence.

Qualification, booking, and escalation

Craft qualifies with service or project details, lead value, urgency, market capacity, representative availability, live calendar data, and connected CRM context. It can book, confirm, remind, reschedule, and transfer with the relevant conversation attached.

Revin exposes more examples of granular booking logic. Its agents can use service or project, budget, timeline, property, decision-maker, capacity, pricebook, job type, business unit, customer status, equipment, membership, and technician-fit data. They can also reschedule, cancel, tag, update an existing record, and hand a selected conversation to a live CSR.

Revin leads when the purchase hinges on bespoke ServiceTitan or LeadPerfection behavior. Craft leads when booking must sit inside a larger lead, coaching, and sales workflow across several systems. Both should prove what happens when there is no valid slot, the transfer destination does not answer, an urgent request falls outside policy, or the downstream write fails.

Operational controls and QA

Craft has the more complete stated human-performance layer. Managers can use automatic notes, configurable scoring, coaching packets, compliance alerts, performance analytics, and real-time guidance for live staff. The same platform can coach in-home sales, making it useful for businesses that want one improvement loop from first call through the sales appointment.

Revin’s control model is tied more closely to the configured agent program. Managers can inspect conversations and outcomes, monitor production behavior, test changes, and allow a live CSR to take over selected interactions. The deployment engineer can keep adapting agents as workflows, campaigns, and system rules change. That combination is valuable when the automation itself—not a separate human coaching suite—is the main object of continuous improvement.

The two models deserve different ownership plans. Craft needs clear owners for AI CSR behavior, digital-lead rules, QA scorecards, human coaching, and field-sales workflows. Revin needs clear owners for agent instructions, integrations, campaign rules, test cases, and engineering priorities. For either vendor, require searchable conversation records, outcome views, role-based access, exception queues, change approvals, audit history, exports, and a tested rollback path.

Integrations

Craft names more than 20 CRM, FSM, and phone connections, including ServiceTitan, Jobber, Housecall Pro, Salesforce, HubSpot, Microsoft Dynamics 365, AccuLynx, Workiz, LeadPerfection, JobNimbus, RingCentral, Aircall, Five9, and NICE inContact. Its bidirectional REST API covers appointments, recordings, summaries, AI-extracted fields, notes, customer and job context, and recording triggers. That is the stronger starting point for a mixed technology estate or an operator that expects to build its own workflows.

Revin names ServiceTitan, LeadPerfection, Salesforce, i360, AccuLynx, and Builder Prime. Its advantage is the specificity of the workflows described for ServiceTitan and LeadPerfection, plus custom engineering when an operator needs more than a standard connector. That is the stronger starting point when a smaller number of systems must support highly tailored booking and recovery logic.

Compare depth at the field and action level. For every required workflow, map reads, writes, triggers, tenants, locations, permissions, refresh timing, duplicate handling, retries, error visibility, and audit events. Then mark each item as standard configuration, custom engineering, or unsupported and attach an owner, timeline, and price.

Implementation and dedicated support

Craft describes a white-glove rollout with discovery, configuration, custom training, launch, dedicated engineering, dedicated support, and continuing optimization. Craft targets full integration within the first week for most teams. This model suits a buyer that wants to phase several modules—AI CSR, digital leads, follow-up, QA, and field sales—under one implementation relationship.

Revin describes CRM/FSM integration, testing with real scenarios, and call-center training by day five, followed by multiple agents live by day 30. A dedicated or forward-deployed engineer supports the program, and some commercial arrangements include contracted monthly engineering hours. This model suits a buyer that wants a technical partner to keep building and refining a tailored automation estate.

Treat both timelines as scope-dependent. Define what “live” means for every location, channel, queue, system action, and fallback. The implementation plan should name customer inputs, vendor deliverables, acceptance tests, ramp stages, rollback conditions, and the post-launch optimization cadence.

Support and ownership should also be explicit. For Craft, identify which modules share the same support path and which changes reach the dedicated engineer. For Revin, define included engineering hours, backlog priority, routine configuration ownership, production access, and rates for work beyond the allowance. For both, put coverage hours, severity levels, response targets, restoration targets, incident communication, and escalation contacts in the agreement.

Pricing and contracts

Craft and Revin both use custom quotes, so the useful comparison is the accepted operating scope rather than an advertised starting price.

For Craft, price every selected module and its supporting usage: AI CSR, Text Agents, QA and coaching, field sales, phone and message volume, numbers, transfers, recordings, storage, integrations, API access, implementation, engineering, and support. Craft’s terms place fees in the order form, make payments generally non-refundable, and use automatic renewal unless written notice arrives at least 30 days before renewal. A monthly charge does not by itself mean a month-to-month commitment.

For Revin, separate platform or agent access, inbound and outbound voice, SMS, email, telephony, implementation, standard and custom integrations, deployment engineering, minimums, overages, and support. The value of a highly configured agent program depends on how much continuing engineering and change capacity the quote includes.

Normalize both proposals across the same lead and call volume, locations, concurrency, channels, workflows, systems, users, storage, support, and growth assumptions. Compare the complete initial term, renewal mechanics, price changes, cancellation, data export, transition assistance, and any pass-through charges.

Privacy and security

Craft states that customer data is stored on U.S. servers and protected with physical, administrative, and technical safeguards. Customers retain ownership of content, recordings, and data. Its terms provide for notice of unauthorized access within 72 hours and a 30-day post-termination export period before secure deletion, subject to the contract and law. Craft may use aggregated or anonymized data for improvement, benchmarking, research, and marketing, and its privacy policy addresses de-identified and aggregated information for AI improvement. Its SOC 2 Type II audit is in progress.

Revin’s privacy policy covers account, contact, device, usage, and submitted data; provider and partner disclosures; necessity-based retention; and commercially reasonable security. It states that SMS opt-in and mobile information are not sold or shared for third-party marketing apart from delivery, support, or legal needs.

The security review should resolve the same operational questions for both vendors: encryption, residency, retention for audio, transcripts, texts, and emails, model providers, subprocessors, training rights, deletion and export, SSO and role access, incident notice, DPA terms, audit coverage, PCI boundaries, and any required BAA. Also define call-recording disclosure, AI disclosure, TCPA and SMS consent, suppression, and access to sensitive customer and job records.

Proof and risk

Craft’s strongest evidence aligns with its broad platform thesis: multiple AI tools and coaching workflows can be consolidated into one vendor relationship. The commercial scope should make clear which Craft modules produced the workflow you expect and which are included in the proposed package.

Revin’s strongest evidence aligns with its agent-program thesis: configurable automation can book work and recover revenue across a multi-location operation. The commercial scope should make clear which behavior is standard, which depends on custom engineering, and how ongoing changes are staffed.

For a fair pilot, measure the same offered calls and leads, response time, qualification accuracy, accepted bookings, transfer completion, containment, reschedules, cancellations, recovered opportunities, duplicate records, opt-out enforcement, write failures, latency, human correction, and completed-job attribution. Segment the results by location, job type, channel, lead source, and time of day. Also test how quickly each team can identify a failure, change the workflow, validate it, and show improvement on the next comparable interactions.

Best-fit scenarios

Choose Craft for a modular home-services front office

A trades group wants AI call handling, rapid response to web and Meta leads, message-based follow-up, live CSR guidance, automated QA, and coaching for in-home sales. Its brands use several CRMs and phone systems, and it values a large connector directory plus an API. Craft gives this buyer the more complete front-office and human-performance footprint.

Choose Revin for complex voice and CRM/FSM journeys

A multi-location home-services operator wants new-service and existing-customer calls, after-hours coverage, capacity-aware ServiceTitan booking, SMS and email follow-up, aged-lead rehash, renewal campaigns, cancellation recovery, and multi-tenant logic. It wants a forward-deployed engineer to keep adapting those agents. Revin gives this buyer the more natural configurable-automation model.

Choose Craft when coaching crosses the call center and the home

A home-improvement company views the initial call and in-home appointment as one sales journey. It wants recordings, real-time guidance, QA, compliance alerts, coaching, and follow-up across human and AI interactions. Craft’s field-sales scope is a meaningful advantage.

Choose Revin when booking detail matters more than connector count

A ServiceTitan operator cares most about capacity, pricebook, job type, business unit, equipment, memberships, technician fit, tags, customer records, and multi-tenant behavior. Revin provides the more detailed starting point for that configuration and the engineering model to extend it.

Choose Craft when the stack is varied

A multi-brand group needs a common AI and performance layer across several CRM, FSM, and phone environments. Craft’s larger named connector set and bidirectional API make it the stronger architectural fit, assuming the required objects and actions pass a field-level test.

Choose Revin when the roadmap is a portfolio of specialized agents

The initial release may be inbound booking, but the roadmap also includes outbound recovery, renewals, confirmations, appointment changes, SMS, and email. Revin’s agent catalog and continuing deployment-engineer model fit a team that wants those journeys built and refined as an ongoing program.

Where Broccoli fits: one lead-to-booked-job operating model

Broccoli AI is a trades lead-to-booked-job platform across inbound and outbound voice and SMS, website chat, speed-to-lead, qualification, booking and dispatch, follow-up, QA and coaching, and multi-location reporting. Those capabilities are packaged as one operating model: the same system can respond to the lead, qualify the opportunity, book or dispatch the job, continue the follow-up, review the conversation, surface coaching, and roll performance up across locations.

That cohesive operating layer is the pair-specific unmet need. Craft brings a broader modular front office, a larger named integration and API surface, and distinctive in-home field-sales coaching. Revin brings highly configurable, voice-centered agents, explicit email coverage, deep CRM/FSM workflow examples, and an ongoing deployment-engineering model. Neither centers its entire offer on one unified trades conversion path from every inbound and outbound conversation through booked work and continuous performance improvement.

Broccoli is the stronger choice when unified execution and continuous performance matter most: every call, text, website conversation, digital lead, follow-up queue, booking rule, QA finding, coaching action, and location report belongs to the same operating model. The honest tradeoffs sit at the edges. Craft publishes broader cross-stack API and field-sales-coaching coverage; Revin is better suited to buyers who specifically want a custom agent program shaped through continuing deployment engineering. Broccoli still has to prove the exact CRM/FSM actions, dispatch rules, channel volumes, reporting hierarchy, and service terms required by your operation.

Final decision

Choose Craft when the mandate is a broad, modular home-services front office: AI answering, digital lead response, follow-up, contact-center guidance, QA, field-sales coaching, analytics, multiple integrations, and API access. Its deciding strength is bringing AI and human revenue performance into one wider platform.

Choose Revin AI when the mandate is configurable, voice-centered automation across inbound service, outbound campaigns, SMS, email, and detailed ServiceTitan or LeadPerfection workflows. Its deciding strength is building complex customer journeys with an engineer who remains part of the operating model.

Choose Broccoli when the priority is one cohesive trades lead-to-booked-job platform across inbound and outbound voice and SMS, website chat, speed-to-lead, qualification, booking and dispatch, follow-up, QA and coaching, and multi-location reporting. For teams that want conversion execution and continuous improvement in the same system, Broccoli is the clear fit.

Book Demo

Book Demo and bring one urgent inbound call, one paid web lead, one website chat, one open estimate, one booking or dispatch exception, and one branch-level reporting question. Follow each from first response through qualification, booking, follow-up, QA, coaching, and multi-location reporting.

Related guides

Sources

1. Craft: Home page — Trades positioning, channels, modules, buyer scope, and implementation summary.
2. Craft: AI CSR — Current answering, qualification, booking, transfer, and setup positioning.
3. Craft: Pricing — Current custom-pricing entry point.
4. Craft: Contact Center AI — Guidance, notes, QA, transfers, CRM support, and contact-center scope.
5. Craft: Text Agents — Lead sources, channels, qualification, booking, campaigns, and opt-out behavior.
6. Craft: Integrations — Named CRM, FSM, and phone connections, API coverage, and integration timing.
7. Craft: Coaching and QA — Scoring, coaching, compliance monitoring, and analytics.
8. Craft: Handy Bros case study — Multi-module program and vendor-consolidation outcome used in the proof section.
9. Craft: Express Flooring case study — Field-sales, training, and follow-up deployment.
10. Craft: Privacy policy — Recordings, transcripts, model improvement, third parties, SMS, retention, and rights.
11. Craft: Terms of service — Storage, access notice, data rights, renewal, cancellation, and customer responsibilities.
12. Broccoli AI product overview — Voice, SMS, chat, follow-up agents, booking, QA, coaching, reporting, and onboarding.
13. Broccoli on the ServiceTitan Marketplace — ServiceTitan and Housecall Pro connections, onboarding, configuration, and support.
14. Revin: Home page — Voice, SMS, email, inbound and outbound workflows, integrations, rollout, and engineer model.
15. Revin: HVAC, plumbing, and electrical — ServiceTitan context, capacity, memberships, tenant handling, DNC updates, and trade workflows.
16. Revin: Home improvement — Home-improvement channels, workflows, and enterprise scope.
17. Revin: ServiceTitan intake and booking guide — Booking chain, overflow, handoff, and forward-deployed engineering.
18. Revin: LeadPerfection automation guide — Qualification, CRM writeback, and home-improvement workflow.
19. Revin: PipeDreams case study — Revenue and AI-booking outcomes used in the proof section.
20. Revin: Privacy policy — Collection, sharing, retention, SMS privacy, and security language.
21. Revin: Terms of Use — Service disclaimers, SMS consent, STOP behavior, and limitations.
22. Broccoli AI: Home page — Home-services voice front-office positioning used in the separated Broccoli section.