Solution
A 24/7 support desk trained on your own docs and policies — answering on your website, WhatsApp and Instagram, and handing off to a human the moment it should. Live in one to three weeks.
Every channel you add — web chat, WhatsApp, Instagram DMs — adds a queue, and each queue expects an answer in minutes. Hiring against that curve stops working long before the volume stops growing.
The answer is not a decision-tree bot that frustrates people into asking for a human anyway. It is an agent that has actually read your documentation, answers from it, says I don't know rather than inventing, and escalates with the full conversation attached so nobody repeats themselves.
The market has caught up with this: chatbot spend is on track from $9.6B in 2025 to $41.2B by 2033, and Gartner expects agentic AI to autonomously resolve 80% of common customer service issues by 2029. 46% of small businesses already use AI for customer engagement.
The four reasons support automation usually disappoints.
Keyword menus deflect tickets by exhausting people, not by resolving anything. Deflection looks good on the dashboard and terrible in the reviews.
An ungrounded model will confidently quote a refund policy you have never had. One screenshot of that is a very expensive afternoon.
The customer explains the problem twice — once to the bot, once to the agent — which is worse than never having offered the bot.
Web chat, WhatsApp and Instagram each get their own bot, their own content, and their own drift away from what support actually tells people.
One agent, one knowledge base, every channel you sell on.
We index your docs, FAQs, policies and past tickets. The agent answers from that corpus and cites it — no corpus, no answer.
One agent behind your website widget, WhatsApp Business and Instagram DMs, so the answer is identical on all three.
Low confidence, an angry tone, or a named topic routes to a person with the full transcript and the agent's own summary attached.
Every escalation becomes a real ticket in Frappe Helpdesk, Zendesk or Freshdesk, against the right customer record.
Answers grounded in your documentation, with the source linked so the customer can verify it.
Below the threshold it hands off instead of guessing. The threshold is yours to set.
Website widget, WhatsApp Business API and Instagram DMs from one configuration.
Tickets, contacts and conversation history written back to the system you already run.
Topic bans, tone limits and a hard refusal path for anything legal, medical or financial that you have not approved.
Resolution rate, escalation reasons and the questions it failed — which is the list that tells you what to document next.
Three deployments we run most often.
Password resets, billing questions, plan limits and how-do-I answered instantly from the docs, with anything unresolved escalated cleanly.
Order status, returns and stock questions handled in the channel customers already message you on, with the order looked up live.
Inbound DMs answered and qualified, with genuine buying intent routed to sales as a lead rather than lost in the inbox.
One to three weeks, and you see a working agent in the first one.
We agree the channels, the escalation rules and what the agent must never answer, then collect your docs, FAQs and past tickets.
Retrieval over your corpus, guardrails, and the tone of voice. You get a working agent to interrogate at the end of the week.
Channels connected, helpdesk and CRM wired, handoff tested with your real support team rather than in a demo account.
Live on a slice of traffic with a human reviewing every conversation, so the failure modes surface while the blast radius is small.
Monthly review of unresolved questions, threshold tuning, and new content added to the corpus as your product changes.
The agent belongs in the tools your team and your customers already use.
Official Business API, with templates and session handling that keep you inside Meta's policy rather than risking the number.
Inbound DMs answered and qualified, with genuine intent routed to sales.
The natural fit if you already run Frappe or ERPNext — tickets land against the customer record you already have.
Escalations become real tickets with the transcript and an agent-written summary.
A widget that matches your design system and reserves its own layout, so nothing shifts.
Escalation alerts where your support team already works, not in another inbox.
What a grounded agent changes in the first quarter.
24/7
First response at any hour, which is when most consumer questions actually arrive.
60-80%
Of tier-1 questions resolved without a human, once the corpus is complete.
< 1 min
Median first response, against hours for an email queue.
1-3 wks
To live, so the payback period starts inside the same month.
What tends to be different about our deployments.
If the answer is not in your corpus the agent escalates. We would rather hand off than invent a policy.
We design the escalation path first, because that is the part customers judge you on.
Fixed scope, one to three weeks, and a working agent to argue with in week one.
Prompts, corpus, integrations and configuration live in your accounts. No lock-in to us.
A fixed-price build, then a retainer that keeps it accurate.
One channel, your core documentation, human handoff and helpdesk integration. Roughly $2,000-$5,000 to build, live in one to two weeks.
Website, WhatsApp and Instagram from one configuration, with CRM sync and custom guardrails. Roughly $5,000-$15,000, live in two to three weeks.
Ongoing tuning, corpus maintenance, monthly quality review and escalation analysis. Typically $500-$5,000 per month against deployment size.
The service is the engineering capability. This solution is the packaged outcome: a scoped deployment on your channels, integrated with your helpdesk, live in one to three weeks at a fixed price. Same engineers, no discovery phase to negotiate.
It answers from your corpus and cites the source. Below the confidence threshold it escalates to a human rather than guessing, and topics you rule out are refused outright. Grounding is the architecture, not a prompt instruction.
Your documentation, FAQs and policies, and ideally an export of past tickets — those show us the questions people really ask. Plus access to the channels and helpdesk you want it wired into.
Deployments run roughly $2,000-$15,000 depending on channel count and integration depth, then $500-$5,000 per month to keep it tuned and accurate. We quote a fixed price after the scoping call.
Yes, and that path is designed first. Escalation carries the full transcript and the agent's own summary into Frappe Helpdesk, Zendesk or Freshdesk, so nobody asks the customer to start over.
Whatever your customers write in — the underlying models are multilingual. Answer quality tracks your corpus, so a documentation set in one language answers best in that language.
The capabilities behind this solution.
Chatbots measured on questions actually resolved — grounded in your own content, wired into your helpdesk, and honest about when a person should take over.
Learn more →AI agents that finish real work, with the accountability that gets them past a security review — scoped tools, gated actions, and replayable traces.
Learn more →Automation for the judgement steps rules cannot reach — the process baselined before we start, and exceptions designed in rather than handed back.
Learn more →AI consulting that ends in a costed, sequenced roadmap — a ranked shortlist, the data gaps named, and an honest list of what not to build.
Learn more →Send us your docs — we'll show you what the agent can answer before you commit.