Discovery & Design
We collaborate with business teams to align objectives, map user journeys, and define conversation flows, guardrails, and success criteria.
We help you design, validate, and deliver GenAI-powered chat, voice, and messaging applications. Digitalization brought services online; we take the next step by making them naturally accessible through conversation — partnering with you from definition to implementation.
We partner with you across the full lifecycle of conversational AI solutions: from defining the right approach with business stakeholders, to acting as a quality gate during implementation, to helping you find the right resources for execution.
We collaborate with business teams to align objectives, map user journeys, and define conversation flows, guardrails, and success criteria.
We act as a trusted partner in the implementation phase, ensuring solutions are built against agreed designs and meet quality, compliance, and user experience standards.
We help you implement production-grade systems, integrating APIs, data, and channels — and support you in finding and enabling the right resources to deliver at scale.
We start with a short intro to align on your goals, users, and success criteria. Together we identify the main actors in your conversational application (customers, employees, partners, or systems) and clarify what each expects to achieve through dialogue.
In a workshop (1–3 days), we map the journey of each actor: how conversations start, the paths they can take, and the events triggered in your systems (e.g., CRM updates, IoT checks, workflow approvals). This map becomes the blueprint of the solution, ensuring business value and feasibility.
Based on the blueprint, we create an action plan and move fast: from prototype to integration and deployment. Prototypes are instrumented to capture real interactions, so we can validate actor journeys, measure quality, and refine the system before hardening, scaling, and continuously improving it.
Every conversational solution has three layers. Our role is to help you make the right decisions in each, adapting to your use cases and goals:
We advise on the most effective entry points (chat, voice, web, or enterprise platforms) to reach your users.
We guide you in choosing the right orchestration model—tool use, routing, memory, and guardrails—aligned with compliance, security, and performance needs.
We help identify and integrate the backend systems (CRM, ERP, payments, workflows, messaging) that turn conversations into real business outcomes.
Lower resolution times and higher satisfaction with assistants that understand policy, product, and process.
Example
When IoT devices are involved (e.g., home appliances), the assistant enriches chat with backend context like device status, recent errors, or usage history—so users get faster, precise support without repeating steps.
Conversational discovery and qualification that guide customers to the right product.
Example
On e-commerce (e.g., Shopify), assistants integrate with CRM and CIAM to personalize recommendations from purchase history, preferences, and identity data—accelerating discovery and conversions.
Assist agents and operators in sector-specific, real-time workflows.
Example
In sports/talent management, WhatsApp conversations with athletes are analyzed to identify key characteristics and automatically initiate processes to accelerate contracts, transfers, or negotiations.
Orchestrate multi-step workflows where natural language is the interface and APIs do the work.
Example
In enterprise scenarios, assistants trigger ERP or HR processes—approving purchase orders, scheduling maintenance, or updating payroll—combining conversational input with backend automation to reduce manual steps and speed execution.
If your goal is to reach your users through conversational applications (chat, voice, messaging), we’ll guide you on what’s possible and what to do next.
What happens next