Integrations & UI
Quoted separately
Extra channels, admin UI, analytics, and deployment outside the AI-core scope.
One bottleneck. One agent. One repeatable operation end-to-end: DMs, booking, lead qualification, or internal routing on your APIs. One agent scoped to one workflow, with human handoff when it should not act alone. Typical timeline: 2–3 weeks.
Operational agents pay off when a single workflow is the daily bottleneck and off-the-shelf chatbots cannot complete it on your APIs.
One agent for one workflow: intent routing, tool calls into your systems, human fallback on edge cases, and an audit trail you can review.
Intro call: we map the single workflow, channels, APIs, escalation rules, and success metrics. You get a fixed-scope estimate before the business process audit and any paid build.
We map how the workflow runs today: steps, handoffs, systems, and edge cases. A short audit confirms agent scope and API feasibility before contract.
We agree scope, milestones, and IP terms in the contract. Work on the agent starts after the first milestone is paid.
We build the operational agent on agreed scope: intent flows, tool integrations, escalation logic, and monitoring. Typical AI core delivery: 2–3 weeks after first milestone payment.
Optional phase: additional channels, admin UI, analytics dashboards, or production hardening. Quoted separately when not in the initial scope.
Fixed scope and price for the AI module, agreed before the build starts.
$4,600+
One workflow: intent routing, tool calls, escalation, monitoring.
2–3 weeks for the AI core; more APIs or channels, longer delivery.
Quoted separately
Extra channels, admin UI, analytics, and deployment outside the AI-core scope.
Final module price depends on API surface and channel count. Intro call gives a range; business process audit confirms scope before contract.
R[AI]SING SUN builds conversational agents scoped to one repeatable operation: booking, lead qualification, DM handling, or internal request routing. The agent uses tool calling into your CRM, calendar, or ticketing APIs, runs 24/7, and escalates to a human with context when it should not act alone. It is not a generic FAQ bot.
The AI module starts from €4,000, $4,600 USD, or £3,400 GBP for fixed scope agreed before the build. Final price depends on channel count, API complexity, and escalation rules. Additional channels, admin UI, and deployment outside the AI core are quoted separately. An intro call gives a range; the business process audit confirms scope before contract.
Typical AI core delivery is 2–3 weeks after contract and first milestone payment for one workflow and one primary channel integration. Additional APIs or channels extend timeline. A business process audit usually runs for a few days before the paid build is contracted.
The module price covers the agent core: intent handling, tool calling, escalation logic, and monitoring hooks for the scoped workflow. It does not include net-new platform integrations beyond agreed APIs, custom admin dashboards, or multi-brand rollouts unless scoped as a separate phase. See Integrations & UI on this page.
If your use case matches our Booking Agent product (salon and clinic booking on Instagram/WhatsApp with standard CRM patterns), the product is faster and cheaper. Custom operational agents fit when APIs, qualification rules, or routing logic do not match the catalogue product.
The agent escalates when confidence is low, the user asks for a human, or the request is outside trained intents. Escalation carries conversation history and partial tool state so your team does not re-ask everything. You define which actions always require human approval.
Rights are defined in the contract before work starts: full buyout or a license for your deployment, with different pricing for each. Module pricing reflects scope fit and reuse of proven pipeline components from prior deliveries, not a greenfield six-figure build from scratch.
An Instagram Booking AI Agent for beauty salon clients cut DM response time from 30+ minutes to under 2 minutes, 24/7, with 286% average booking conversion growth across locations. Case study: r-sun.ai/cases/beautyvers-booking-agent.
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