Not chatbots. Agents that understand your product, your customers, your operations. They handle the back-and-forth work your team does today — support, research, qualification, internal Q&A — running 24/7 and escalating only when a human should step in.
If your team is answering the same class of question over and over — from customers, from internal staff, from prospects — an agent can handle it faster and never forgets the answer.
Handles inbound tickets across email, chat, and WhatsApp. Reads your help centre, product docs, and past resolutions. Answers 70% of tickets on the first touch; the rest go to a human with the full context pre-loaded.
Fields inbound leads on your site or over email. Asks the right qualifying questions, pulls context from your CRM, books meetings on your calendar for prospects that clear the bar.
Employees ask the agent instead of the ops manager. Policy questions, tooling how-tos, HR requests, IT tickets. Grounded in your Notion / Confluence / SharePoint / Google Drive, updated as your docs update.
Deep-research on demand: account plans before a call, competitor teardowns, market briefings. What used to take an analyst half a day now lands in Slack in five minutes.
Every agent ships with an eval harness, a hallucination filter, and clean escalation paths. You see how it's answering, what it's getting wrong, and where humans need to step in.
We do not ship an agent until it beats a competent human on a curated eval set. That takes discipline; that is why the timeline is what it is.
We sample 200-500 real historical conversations from your team. Categorise them. Build a golden test set the agent has to pass before shipping. This is the step nobody else does; it is why our agents don't hallucinate in the wild.
Wire the agent to your knowledge sources (docs, CRM, product data), tune retrieval, iterate on prompts until eval scores clear the bar. Deploy behind a feature flag.
Agent answers alongside your humans for a week. Your team sees both drafts, picks the better one. We log every miss and re-tune.
Handle 20% of real traffic, monitored live. Confidence scoring routes anything ambiguous to a human. Ramp to 100% once quality holds for five straight days.
Bi-weekly review. New categories added, new sources ingested, new escalation paths built. Agent gets better every fortnight, forever.
We agree on a specific resolution-rate target on your golden eval set before we start. If the agent misses that target by month 2, every hour of build after that is on us until it hits.
Written into the contract. No small print, no clawback games.
The proof isn’t in the pitch deck. It’s in what shipped and what changed.
“The AI integration into our existing platform automated 80% of our manual workflows. Our team now focuses on strategy instead of repetitive tasks.”
The ones founders and operators ask before we sign. Don’t see yours?
Ask on a discovery callThose are foundation models. Powerful, but generic. Our agents are grounded in your specific product, customers, operations, and history. They cite your docs, follow your policies, and know your escalation paths. Same underlying models; radically different behaviour.
Three layers: retrieval grounding (the agent can only answer from sources we ingest), confidence scoring (uncertain answers get routed to a human), and an eval harness (regressions get caught before they ship). Nothing is bulletproof, but you'll know the moment a category starts to slip.
Every conversation is logged with the source citations. Wrong answers get flagged automatically or by your team; we re-tune within 24h. First 30 days of live operation include our incident response; after that it's part of the retainer.
Email, live chat (Intercom / Drift / Chatlio), Slack, Teams, WhatsApp, SMS, Discord, and native web widgets. Voice is possible on newer stacks; ask on the call.
Whichever is right for the task: GPT-4 / GPT-5, Claude 4/5, Gemini, plus open-source models for cost-sensitive tasks (Llama, Mistral, Qwen). We are model-agnostic and rotate as the frontier moves.
If the agent misses the agreed resolution-rate target on your golden eval set by month 2, we work for free until it hits.
Book a free consultation. We'll look at a sample of your recent conversations on the call and tell you which agent would reclaim the most time first.