The calibration of the AI Methodology when transformation runs through the conversational relationship — with internal users, with clients, with stakeholders. Natural-language assistants integrated into business systems, trained on the client's specific context, with guardrails, audit trail, and escalation management toward people.
The AI Natural Assistant is the calibration of the AI Methodology when the transformation perimeter is the vertical conversational relationship with internal or external users. It is the domain where natural language becomes the contact surface between the client and its own operations: front-office, counter, assistance, orientation, case pre-screening, learning guidance.
The domain traverses all three phases of the methodology. Phase 1 — conversational use case map alongside volumes, value, risk, informational coverage. Phase 2 — knowledge base design, guardrail rules, autonomy levels. Phase 3 — assistant in production, quarterly contractual KPIs, continuous improvement cycle.
The AI Natural Assistant is born as a generalist domain of the methodology. We make it operational on three verticals where deep competence exists in the Synthos Logic Business Partner network.
Assistants for schools, universities, training institutions. Guide students and faculty, accompany learning, manage recurring requests (schedules, registrar, materials, deadlines), orient on training offers. Aligned with institutional policies and minor protection requirements.
Assistants for front-office, product guidance, case pre-screening, advisor network support, internal financial education. Operate within the institute's compliance perimeter, with escalation toward people for every economic-impact decision.
A conversational layer above customer relationship systems. Supports sales, service, analysis. Reads history, suggests next best action, opens tickets, prepares replies. All under operator control.
Conversational product in production, integrated into the organization's channels.
Documents, policies, FAQ, history, structured data: indexed, versioned, maintainable.
What the assistant can say, when it must escalate, which autonomy thresholds are active per level. Documented and modifiable by the client.
Usage, quality, escalations, KB coverage, drift over time. The client sees what happens every day.
Every assistant is configured with a declared autonomy threshold. Below threshold, it answers directly. Above threshold, it opens a ticket or calls a person. The threshold is defined with the client, based on reputational, economic, regulatory risk of the domain.
Answers questions on public or internally-distributed content. Low risk. Autonomous execution.
Opens tickets, books slots, updates records, sends standard communications. Tracked, reversible, with signed log.
Every action with economic, legal, reputational impact. The assistant prepares the draft. The person signs.