Everything you want to know
about autonomous revenue recovery

Email inboxes are overwhelmed. B2B buyers have trained themselves to ignore anything that looks like outreach. The open rate data looks acceptable but the reply rate is what matters, and reply rates on cold and warm email are collapsing.

Phone is intrusive and timing-dependent. For most buyers, a cold call interrupting their day produces resistance, not openness. The best-performing sales reps use phone strategically, not at scale.

WhatsApp is different for a simple reason: it feels like a direct conversation with a real person. Open rates are above 90%. The medium itself signals that what follows is worth reading.

More importantly, WhatsApp is already the working channel for many of the buyers we target. Hospitality operators, recruiters, financial advisors, and SaaS sales teams all use WhatsApp for actual business conversations. We are not introducing a new channel. We are meeting them where they already are.

The opening message is carefully crafted based on everything we know about that contact: their industry, their last interaction with your business, the product or service they were interested in, and how long ago they went quiet. It is not "Hi, just checking in." It is specific, relevant, and human in tone.

From there, the AI reads each reply and responds accordingly. If someone says the timing was not right before, it explores what has changed. If they raise a concern, it addresses it. If they are clearly not interested, it closes gracefully. The goal is never to force a meeting. The goal is to understand where they are and, if there is genuine intent, to move it forward.

When a contact is ready to book, the AI handles the meeting confirmation and passes everything, the conversation, the context, the intent signals, to your CRM. Your rep walks into a meeting already knowing what the person cares about.

No deals are created in the CRM until a meeting is confirmed. This matters because it keeps your pipeline clean and ensures every deal has a live intent signal behind it, not just an automated touch.

For every meeting booked, your rep receives the full conversation transcript, the key signals raised (budget, timing, decision-making process, objections), and any commitments made during the conversation. The handover is complete from the first call.

For contacts who were not ready to book, we capture what they did say. Timing issue. Budget under review. Waiting on a hire. That intelligence goes back into the CRM so you can follow up at exactly the right moment, rather than guessing.

Most clients are live within 5 to 7 business days. The setup requires a CRM connection, a data export or list upload, a WhatsApp Business API account, and message approval from Meta. We handle all of it.

The CRM integration typically takes 1 to 2 days depending on your platform. We support Pipedrive, HubSpot, Salesforce, and bespoke CRM exports. If you have a clean CSV, we can work from that while the integration is built in parallel.

WhatsApp message templates require Meta approval, which usually takes 24 to 48 hours. We draft the templates, submit them on your behalf, and handle any revisions needed to get them approved.

The most important number is not the reply rate alone , it is what happens after the reply. On warm data we see a 22% reply rate. Of all contacts sent a conversation, 8% convert to a confirmed booked meeting. On a warm database of 1,000 contacts that means roughly 220 replies and 80 meetings in the diary.

Data quality affects reply rate but not as dramatically as people expect. We have run campaigns on data that had not been touched in three years and still achieved double-digit reply rates, because WhatsApp as a channel cuts through in a way that email simply does not.

Validated reference: Uplifts Finance · 341 conversations sent, 82 replies (24% reply rate), 17 meetings booked at £75 per meeting. The pipeline value those 17 meetings represent depends on deal sizes specific to their business , that number stays with them.

To put that in context: of the 3,000 contacts sent a conversation, around 660 will reply (22% reply rate). Of those replies, roughly 240 will convert to a booked meeting. The rest give you live intelligence , where they are now, what has changed, when to follow up.

The range is wide because the factors that influence conversion vary significantly by sector. Recruitment and mortgage businesses, where urgency is high and the buyer pool is active, tend to sit at the top end. SaaS buyers, where deals require committee sign-off, tend toward the lower end but with higher average contract values.

What does not vary is the quality of the meetings. Because every contact has had a real conversation before the meeting is booked, reps are not going in cold. The contact has already expressed their current position, raised any blockers, and confirmed they want the conversation. That changes the close rate of the meetings themselves.

We do not project meeting numbers before a campaign runs. What we do is give you full transparency during the campaign via the client dashboard: reply rate, meeting rate, sentiment signals, and pipeline value in real time.

A mid-market sales rep in the UK costs between £40,000 and £70,000 per year in salary, plus employer NI, benefits, management time, tooling, and ramp time. In their first 90 days, a new rep will generate very few qualified meetings while they learn the product, the market, and the pipeline.

A RegenAI campaign run costs £75 per meeting booked, nothing else. On a campaign that delivers 20 meetings, that is £1,500. On 50 meetings, £3,750. If even two of those meetings close at your average deal value, the campaign has paid for itself many times over.

More importantly, RegenAI does not replace your sales team. It works on the contacts your sales team cannot get to. The database sitting in your CRM that nobody has the time or the system to activate. That is pure incremental pipeline, not a redistribution of existing resources.

This is one of the most undervalued parts of what RegenAI delivers. Most campaigns give you a meeting and stop there. We give you the full picture of your dormant pipeline: who is actively in market, who is paused and why, who has moved to a competitor, and who is sitting on a budget they have not unlocked yet.

That intelligence is structured and fed back into the CRM against each contact record. Your team does not just get meetings. They get a live map of where every contact in that campaign sits today, updated in real time as conversations happen.

Clients consistently tell us this database intelligence is as valuable as the meetings themselves. It turns a CRM that was a graveyard of old leads into an active, segmented, prioritised pipeline.

We built the commercial model this way deliberately. We believe if RegenAI is not generating meetings, you should not be paying for it. The pay-per-meeting structure means our incentive is always aligned with yours: get real meetings booked with real buying intent behind them.

A confirmed meeting means a calendar invite accepted by the contact. Not a reply that says "maybe." Not an expression of interest. A real meeting in the diary with a real person who has committed to showing up.

For new clients, we offer a free trial to demonstrate what the platform can do on your data before you commit. You see the reply rate, the conversation quality, and the meetings generated. Any meetings booked during the trial are charged at the standard £75 per meeting , the conversations themselves are on us.

The trial is structured to give you enough data to make a real decision , enough conversations to see genuine reply rates, conversation quality, and meetings generated on your specific data, with your specific contacts, in your specific market.

You get full access to the client dashboard during the trial, including real-time reply data, conversation transcripts, sentiment signals, and meeting confirmations. Nothing is held back to encourage conversion.

At the end of the trial, if you want to continue, you move straight into the standard pay-per-meeting model. If you do not, there is no further obligation , the conversations were free and you only paid for the meetings that were booked.

WhatsApp Business API costs are included in the campaign. Meta charges a small per-conversation fee on their end (typically a few pence per conversation) and we absorb this within our model. You do not receive a separate bill for API usage.

CRM integration is included as part of onboarding. There is no professional services charge for getting the platform connected to Pipedrive, HubSpot, or Salesforce.

Dashboard access is included for the duration of every campaign. There is no seat-based pricing or user licence cost.

The businesses that see the strongest results share three characteristics:

• Volume of dormant contacts. At least 1,000 contacts who showed interest at some point but have not converted. The larger the database, the more pipeline there is to recover.
• Clear revenue link per conversation. Each recovered contact has a meaningful commercial outcome attached to it , a deal, a placement, a policy, a subscription. The platform pays for itself faster when deal values are higher.
• No existing reactivation process. If you are already running a systematic, high-performance pipeline activation motion, RegenAI adds incremental value. If you have nothing and a database full of dormant contacts, the impact is transformational.

Sectors with strong fit include financial services (mortgage, wealth management, lending), recruitment, SaaS with relationship-led sales, and hospitality technology. We have validated results across all of these.

What we do need is a mobile number for each contact. Without a number, WhatsApp cannot deliver the message. If your CRM has contact records without numbers, we can work with what you have and you simply do not pay for contacts we cannot reach.

Duplicate records, inconsistent formatting, missing fields, and old data are all things we manage as part of campaign setup. We review the list before anything goes out and flag any issues with you before the first message sends.

The one thing that does affect performance is recency of engagement. A contact who expressed interest six months ago will typically have a higher reply rate than one who has not engaged in three years. But even the colder end of that spectrum outperforms email significantly.

The constraint for most sales teams is not skills or motivation. It is time. A rep with 200 accounts to manage cannot spend meaningful time manually working through 5,000 dormant contacts. RegenAI does that work autonomously, in parallel, while your reps focus on deals that are already progressing.

Every meeting RegenAI books comes with a full conversation summary, key signals from the contact, and their stated current position. The handover to your rep is warmer than a cold outbound call would ever be, because the contact has already had a conversation and already agreed to meet.

Think of it as your pipeline activation layer. Not a replacement for human relationship-building, but the system that surfaces the conversations worth having before a human invests time in them.

The platform is built for relationship-led sales environments where each meeting has real commercial weight. If your average deal is under £500, the economics become difficult to justify.

We also do not work with databases where contacts have not expressed any prior intent. RegenAI is a dormant intent recovery platform, not a cold prospecting tool. If your database is made up of cold purchased lists with no prior engagement, we are not the right solution.

If you are unsure whether your business fits, the easiest thing to do is book a call. We will give you a straight answer.

Under GDPR, B2B outreach to contacts with whom you have an existing business relationship is permissible under Legitimate Interest, provided that the outreach is relevant, proportionate, and offers a clear opt-out. RegenAI's approach meets all three criteria.

Every message includes a clear opt-out mechanism. Any contact who opts out is immediately suppressed from your campaign and the suppression is logged back to your CRM to prevent any future contact.

We are also compliant with the ICO's January 2026 guidance on AI disclosure in outbound communications. Where required, conversations disclose that AI is involved in the interaction.

We recommend all clients complete a Legitimate Interest Assessment before their first campaign. We provide a template as part of onboarding.

The integration pulls dormant contacts from your CRM based on criteria you define: last activity date, deal stage, contact owner, segment, or any combination. It does not touch active deals or contacts that are already in a live sales motion.

As conversations happen and meetings are booked, the CRM is updated in real time. Conversation notes, sentiment signals, and meeting details are written back to the contact record automatically. Your CRM stays as the single source of truth.

For businesses without a CRM, we can work from a structured CSV export and provide a summary report at the end of the campaign in a format that maps cleanly to most CRM import tools.

Conversation data is retained for the duration of your campaign plus a 90-day review window, after which it is deleted from our servers unless you request otherwise. You can request deletion of any campaign data at any time.

Access controls are role-based. Only the users you designate have access to your dashboard and campaign data. We do not have open internal access to client conversation data.

The WhatsApp Business API is different from the standard WhatsApp Business app. It is an enterprise-grade sending infrastructure provided by Meta and delivered through approved Business Solution Providers (BSPs). RegenAI manages this layer entirely on your behalf.

Your contacts see messages coming from your business name, not from a generic number. This is important for trust and reply rate , contacts are far more likely to respond to a message from a brand they recognise than from an unknown number.

We use 360dialog as our primary BSP, with Twilio as a secondary option for specific client requirements. Both are fully Meta-approved.

This is one of the core advantages of autonomous conversation intelligence over human-led outreach. A contact who replies at 10pm on a Tuesday is still in the conversation. They do not hit a dead end and drift away. The AI responds, continues to understand their position, and if they want to book a meeting, it handles that immediately.

Our timing intelligence also shows that second-peak reply activity on WhatsApp tends to occur between 3pm and 5pm. For some contacts, early evening is their first quiet moment to respond. The platform captures all of this without any manual intervention required from your team.

The platform uses a three-tier model architecture. Opening messages are generated using a lightweight model optimised for speed and reach. Conversation turns , where nuance, context, and tone matter most , use a more capable model. Objection handling and high-stakes moments in the conversation use the most capable model in the architecture.

This approach means the AI is always appropriately calibrated to the moment in the conversation, rather than using a one-size-fits-all model that either over-engineers simple moments or underperforms in complex ones.

The AI does not hallucinate facts about your business, your product, or your contacts. It works from a structured brief that you approve before the campaign goes live, and it stays within those parameters throughout every conversation.

Every campaign has a defined scope document: what the AI can say, what it cannot say, what questions it should redirect to a human, and what topics are out of bounds entirely. This is reviewed and approved by you before go-live.

The AI is also conservative by design. It does not try to close deals. It does not make commitments on your behalf. Its job is to understand where the contact is, hold a genuine conversation, and book a meeting when the intent is there. Everything commercial happens in the human-to-human meeting that follows.

You can review any conversation transcript at any point via the dashboard. If you ever see something you are not happy with, you can pause the campaign immediately and we will adjust the brief before it resumes.

The ICO's January 2026 guidance on AI disclosure in outbound communications requires that contacts be informed when they are interacting with an AI system in certain contexts. RegenAI is fully compliant with this guidance.

The data on this is interesting. Contacts who know they are talking to AI but find the interaction genuinely helpful still convert to meetings at strong rates. The question contacts care about is not "is this a human?" It is "is this worth my time?" A well-designed AI conversation answers yes to that question in the first two exchanges.

We build disclosure language that is honest without being off-putting. Something like "I am an AI assistant working with [your brand] , happy to answer your questions or set up a call if that is helpful" performs far better than either hiding the AI nature entirely or leading with a lengthy disclaimer.

The opening message for each contact is constructed from their actual history with you , what they enquired about, what your rep recorded in the notes, how far they got in the pipeline, and when they went quiet. The result is a message that sounds like a colleague who remembers them, not a system that found their number.

For example, a contact who told your rep the new kit was going in before summer gets an opener that references that specifically , not a generic "just checking in." That specificity is what makes contacts reply.

Before anything sends, every message passes through our Digital Agent Voice Evaluation , a proprietary quality system that scores tone, naturalness, language appropriateness, and whether the message actually addresses what the contact said. Sub-standard messages are rewritten automatically. If they still do not pass, a human reviews before anything goes out.

You also see every opening message before the campaign goes live. Nothing sends without your sign-off on the setup.

Most AI tools get smarter in general terms , they improve across all their users over time. RegenAI gets smarter specifically on your buyers. The language patterns, question types, and engagement triggers that produce replies and meetings in your market are identified and reinforced. The ones that underperform are retired.

This compounds significantly across campaigns. Clients running their third or fourth campaign with us consistently see stronger reply rates and higher meeting-to-reply conversion than they saw on their first , not because the database got warmer, but because the conversations themselves are sharper.

The evaluation runs on every single message in every conversation , not just the ones that end in a meeting. A conversation that produces a "not right now" is as valuable as one that books a meeting, because it tells us exactly which language and which approach moved that contact type and which did not. That data does not go to waste.

On channel: WhatsApp open rates sit above 90%. Email open rates in B2B outreach are typically 20 to 30%, with reply rates of 2 to 5%. The channel alone explains a significant portion of the performance difference.

On specificity: the opening message references something real and concrete from that contact's history with you , not a generic benefit statement, not a product pitch. A message that references a specific conversation a contact had with your team months ago does not feel like outreach. It feels like a continuation.

On psychology: we deliberately design openers around the principle that unfinished business stays mentally active. Your dormant contacts have an open loop with you , they showed interest, something intervened, and that loop never closed. An opener that gently references where you left off re-activates that loop naturally. The contact replies not because they were convinced by a pitch, but because the conversation was already started and it feels natural to pick it back up.

We call these engagement triggers. They are not tricks. They work because they are grounded in something real , the actual history between your business and that contact , rather than manufactured urgency or generic personalisation tokens.

The knowledge base covers five things:

• What you do and who you do it for. A plain-English description of your product or service and who your ideal customer is. Not marketing copy , just enough for the AI to talk about your business accurately.
• Your tone of voice. How formal or informal you are, any words or phrases you always use or never use, and whether there are any sensitivities around how you describe what you do.
• What the AI can and cannot say. Topics it should handle confidently, topics it should redirect to a human, and anything that is off limits entirely , pricing, competitor comparisons, anything contractual.
• Common questions and objections. The things your leads typically ask or push back on, and how you would naturally respond. Your sales team already knows these , we just need them written down.
• What a good outcome looks like. Usually a booked meeting, but sometimes a specific type of meeting, with a specific type of contact. The clearer this is, the better the AI can recognise when to make the ask.

We send you a structured template. You fill in what you know. We handle the rest , turning it into the instructions the AI operates from. If something is missing or unclear, we come back to you with specific questions rather than asking you to start again.

The knowledge base is also a living document. If your product changes, your pricing updates, or you want to adjust the tone, we update it between campaigns. Your conversations stay accurate without you having to manage the technical side of that.

WhatsApp is the stronger channel for most B2B use cases. It sits in the same app as personal messages, open rates are above 90%, and the two-way conversation format means the AI can hold a genuine back-and-forth with your contacts naturally.

SMS works well where contacts are less likely to have WhatsApp, where the audience skews older, or where a client simply has a preference for it. Delivery rates are excellent and it requires no app on the recipient's side.

The conversation intelligence, the quality scoring, the CRM integration, and the meeting booking all work the same way regardless of channel. The only difference is where the message lands on your contact's phone.