GotBot AI Agents
AI Agents that work for every business.
The same conversational AI that answers for a bank also answers for a five-person startup. GotBot AI Agents resolve 70–90% of routine customer queries across every channel — WhatsApp, web, Messenger, Instagram, SMS — and hand cleanly to a human on the ones that need judgement. Trained on your business, running on your tone, right-sized to how you work.
At RCS, a leading SA retail credit provider, GotBot AI Agents handled 238,492 customer conversations with 96.9% NLP accuracy sustained over nine months in production.
One AI stack. Any business size. GotBot AI Agents are the conversational AI powering South Africa's biggest banks, insurers, retailers and credit providers — the same platform packaged for every business that wants customers answered in seconds, not days. Deploy in under a week, scale as your volume scales, pay for the platform not per resolution.
87% of our replies come from the AI. 13% from six human agents. Social and review volume swings with campaigns and the inbox never misses a comment — even in peak months with 60,000+ interactions.
Used by the world's leading companies
The Three Jobs AI Agents Actually Do For You
Opening hours. Order status. Account balance. FICA submission. Leave balance. Delivery date. 7 out of 10 customer messages are the same handful of questions on repeat — and your AI Agent answers them in seconds, 24/7, across every channel, before anyone on your team has to pick up a phone or open an inbox.
At RCS, that's 87% of 238,492 live customer interactions handled by the AI — with 6 agents picking up only the 13% that actually needed a human.
Complex questions, complaints, regulated advice, emotional conversations — these need a person. GotBot AI Agents detect the escalation moment automatically and route the conversation to a live agent with the full chat history, customer profile and detected intent attached.
No 'please repeat your query.' No lost context. The customer barely notices the switch — your agent catches up in one glance.
Modern LLMs hallucinate 50–82% of the time without proper grounding. Deflection rates look great right up until the AI confidently tells a customer the wrong thing. GotBot AI Agents are RAG-grounded in your business sources, red-teamed before go-live, and monitored daily for behaviour drift — so an answer is only shipped if it's actually right. RCS has held 96.9% NLP accuracy for 9 months in production.
AI Agents — 238,492 interactions across 5 channels in 9 months
“We needed an AI Agent that could handle the real channel mix our customers use — webchat, Messenger, Facebook comments, Instagram DMs, Google Play reviews across more than ten of our store-brand apps. A tool that would fall over at scale wasn't an option.
This is what AI Agents actually look like when they're running every day — not just in a demo.”
AI Agents that handled 238,492 live interactions — and got it right 96.9% of the time.
Six human agents. One shared workspace. One AI doing the heavy lifting.
RCS, a leading South African retail credit provider, runs their customer engagement across five channels — Webchat, Messenger, Facebook, Instagram and Google Play reviews — all from a single GotBot workspace where AI Agents and human agents work the same inbox.
In 9 months of production (January to September 2026), AI Agents sent 87% of the 109,747 replies, fully resolved 13,855 conversations end-to-end, and held 96.9% NLP accuracy across 238,492 live customer interactions.
The Challenge:
What AI Agents handle for RCS — and what every business can expect:
Routine volume, resolved automatically. 87% of replies came from the AI Agent. Balance queries, statement requests, delivery updates, policy FAQs — answered in seconds, around the clock, across every channel the customer uses.
Clean escalation when a human is needed. 13% of conversations routed to 6 human agents with full context — no repeated questions, no lost history. The AI handled volume; humans handled nuance.
Accuracy that stays accurate. 96.9% NLP accuracy sustained across the full 9 months. Daily behaviour monitoring caught drift before it became a customer-facing problem. RAG hygiene kept the answers grounded in RCS's actual knowledge base, not the model's imagination.
AI Agents at RCS
238,492 live customer interactions in 9 months
87% of all replies sent by AI Agents
96.9% NLP accuracy sustained in production
What the AI handled alongside
5 channels in one AI workspace
169,678 social + review interactions captured
6 human agents picking up only the exceptions
AI Agents, built right — trained,
guardrailed, monitored
An AI Agent isn't a wrapper around ChatGPT. It's a trained, grounded, monitored customer service worker — running on your data, in your voice, with the guardrails your business needs.
By grounding every answer in your business sources and monitoring behaviour every day, GotBot keeps the AI accurate at scale, on-brand across channels, and under your control — not drifting into the model's imagination.
SME deployments go live in under a week. Enterprise regulated workflows (FICA, claims, policy) in 4–12 weeks. Either way, no six-figure build, no multi-quarter integration project.
GotBot pricing has two parts: a platform plan scoped to your deployment, and Meta's WhatsApp conversation rates. No pay-per-resolution surprise bills when a campaign spikes volume. Enterprise, SME — same stack, scoped pricing.
AI Agents Highlights
GotBot AI Agents are grounded in your actual knowledge base — product docs, policies, past conversations, pricing, FAQs — via RAG (retrieval-augmented generation). Every answer is sourced from material you've approved, not pulled from a public model's imagination.
Modern LLMs hallucinate 50–82% of the time without proper grounding. RAG hygiene is the difference between an AI that sounds right and an AI that is right. Your customers can tell.
AI Agents resolve the routine 70–90%. When a conversation needs a human, the handover is seamless and context-preserving — your agent sees the full chat history, the customer profile, the detected intent, and any compliance flags. No 'please repeat your query.' No lost context. The customer barely notices the switch.
Bad handovers are where AI loses customers. Great handovers are where AI beats every other support channel. GotBot's hand-off has been running at bank scale for years — tuned, tested and trusted.
Every GotBot AI Agent deployment includes daily behaviour audits, continuous NLP accuracy monitoring, RAG freshness checks, and template compliance review. If the AI starts drifting — answering slightly wrong, going off-brand, missing a new policy — we catch it before a customer does.
Most AI vendors ship your agent and move on. GotBot keeps running the hygiene on it. It's why RCS has held 96.9% NLP accuracy for 9 months straight — not just the first month.
Case Study
Live chat across 5 channels, 24/7 — powered by AI + 6 human agents
Over 9 months, GotBot ran RCS's live chat operation across WhatsApp, Facebook, Instagram, web and X — with the AI handling 87% of conversations and 6 human agents stepping in only on the escalations
that needed them. 238,492 customer interactions, 96.9% NLP accuracy, zero channel bloat.
customer interactions handled in 9 months
fully automated — edge cases only to agents
NLP accuracy sustained at scale
One inbox. Five channels. One team. RCS runs its full live chat operation on GotBot — WhatsApp, Facebook, Instagram, web chat and X — with 169,678 social interactions handled over 9 months and 40,757 of those sentiment-scored for agent coaching. The AI handles the volume (87% automation) and routes the 13% that need a human to one of 6 live agents, with full conversation history attached. NLP accuracy held at 96.9% across the whole window — the AI didn't just answer, it answered correctly.
FAQs
Still have questions?
A traditional chatbot follows a fixed decision tree — if the customer says X, send Y. A GotBot AI Agent is a conversational AI trained on your business sources that understands intent, generates natural answers, remembers context across the conversation, and escalates to a human when needed.
The chatbot answers one of ten preset questions. The AI Agent handles the questions you didn't preset.
Three layers. First, RAG grounding — answers are retrieved from your approved knowledge base, not generated from the model's priors. Second, prompt + guardrail design — red-teamed before go-live to catch risky outputs. Third, daily behaviour monitoring — continuous NLP accuracy scoring and drift detection with human review on edge cases.
At RCS that stack has sustained 96.9% NLP accuracy across 238,492 live interactions over 9 months in production.
The AI doesn't just sound right — it is right.
Seamlessly. When the AI Agent detects it can't help — complex query, compliance flag, vulnerable customer, explicit 'talk to a person' request — the conversation routes to a human agent with the full chat history, customer profile and intent context intact.
Your agent doesn't need to ask the customer to repeat anything. The handover is invisible to the customer and context-preserving for the agent. In the RCS deployment, 13% of conversations are human-handled and tagged into 20+ query types — showing exactly which journeys to automate next.
Yes. GotBot AI Agents run full digital FICA journeys, Two-Pot withdrawal flows, insurance claim submissions and quote generation inside WhatsApp — with POPIA-compliant audit trails, consent capture, and routing to FAIS-registered advisors on anything that needs licensed advice.
Regulated depth isn't a theoretical capability — it's what GotBot's enterprise clients have been running in production since 2020.
AI Agents, built for the way your business runs.
Start small. Scale fast. Stay accurate.
Book a free demo. Bring your use case. We'll show you a GotBot AI Agent running on your scenario — WhatsApp, web, Messenger, Instagram — with handover, hygiene and guardrails all working together.