Services
Most chatbot projects are judged on how many conversations never reached a human. We build for a different number: how many people got a correct, current answer — and how cleanly everyone else reached someone who could actually help.
None of these are technology limits. All four are decisions made during the build.
A decision tree only covers what its author predicted, so the first unusual phrasing becomes a dead end and an irritated customer hunting for the exit.
The customer explains it all a second time to an agent who cannot see a word of the conversation that just happened.
A bot fed by a one-off content export keeps quoting the policy that changed two releases ago, and sounds certain doing it.
A conversation that ended because the customer gave up gets filed next to the ones that were genuinely resolved.
Four commitments, mapped one-to-one onto the four failures above.
The bot reads your current help centre and cites what it used, so a correction you publish today changes what it says today.
Transcript, steps already attempted, and account state travel with the customer, so the agent opens the conversation already informed.
Web, WhatsApp, and voice have genuinely different constraints. Each gets a flow designed for it instead of one script reused badly three times.
We agree up front what the bot will not attempt. A quick offer to fetch a colleague beats a confident wrong answer every time.
Two representative slices of a typical engagement.
Handles the recurring questions straight from your help centre, cites the article behind each answer, and escalates the moment it reaches its limit.
Customers book, reschedule, and confirm over WhatsApp, with template messages and the 24-hour session window handled properly rather than worked around.
A widget answering from live content, not a stale export.
Official Business API, templates, and session rules handled.
Telephony flows built for interruption and misheard words.
Reads your knowledge base, writes to the tools you already run.
IT and HR questions answered from your own policies.
Context carried across so nobody repeats themselves.
The languages your customers actually write to you in.
A narrow scope proven on real traffic, widened only once containment holds.
Your tickets and chat logs already say what customers ask and how they phrase it. That is the specification — not a workshop guess.
Point the bot at the content that is actually maintained, and decide deliberately which topics it must decline.
Integrate the helpdesk and CRM so a handover carries transcript, context, and account state, and so resolutions land where your team already works.
Launch on a slice of live conversations, review the misses weekly, and extend scope only where the bot has earned it.
Directional outcomes from comparable builds — not contractual targets.
Answers that stay current
Responses follow your live help centre instead of a snapshot taken at launch.
Shorter escalations
Agents open a handover already knowing the story, so nobody starts from the beginning.
Metrics you can defend
Containment and satisfaction on bot-handled conversations, not raw message counts.
Decision-tree builders answer only what somebody anticipated in advance. We ground answers in your real content, so the bot copes with phrasings nobody scripted and says plainly when a question is outside what it knows.
It hands over to a person with the full conversation, what it already tried, and the customer's account context. A handoff that makes someone repeat themselves is worse than having no bot.
That integration is most of the value. The bot reads from your knowledge base and writes to what you already run — Zendesk, Freshdesk, HubSpot, Salesforce, or an internal tool with an API. Without that wiring, escalation is just a contact form.
Yes, through the official WhatsApp Business API, including template messages and the 24-hour session rules. We handle the Meta verification as part of the build.
It depends on how many questions it must cover and how many systems it must reach. A grounded support bot on one channel is a far smaller build than a voice bot writing to your CRM. We scope against your real ticket volume and say which slice pays for itself first.
Your content stays in systems you control, and we agree what the bot may read before anything is connected. Where the build touches personal data we work to your existing GDPR position rather than inventing a parallel one, with residency and retention settled in writing.
Containment rate, handoff quality, and satisfaction on the conversations the bot handled. Message volume on its own tells you nothing about whether anyone was actually helped.
We will show you what a grounded bot does with them — and where it should hand over instead.