AI Operations Audit
A focused audit to identify where AI can improve operations, sales response, internal knowledge, and team workflows.
We turn AI from scattered tools into practical workflows for operations, sales, brand systems, creative production, and product strategy.
Applied AI — Interview Intelligence
We're building an AI interview system that tracks micro-expressions and facial cues in real time — one example of how Sentions turns models into working products.
Description
Before the interview, Janus studies the candidate — resume, public footprint, role requirements and prior records — and turns them into a structured brief: an interview plan, targeted questions, and the doubts worth probing.
Before the interview, Janus studies the candidate — resume, public footprint, role requirements and prior records — and turns them into a structured brief: an interview plan, targeted questions, and the doubts worth probing.
During the interview, ValenCI listens live — transcribing both sides in real time while coaching the interviewer: next questions, follow-ups, domain explanations, pacing, and alerts when an answer drifts or misses the point. A full report lands the moment the call ends.
After the loop, Mereology weighs everything known about every candidate, compares them against the role and each other, and forecasts fit — a ranked, explained prediction instead of a gut call.
Each offer is designed as a clear starting point, not a vague consulting menu.
A focused audit to identify where AI can improve operations, sales response, internal knowledge, and team workflows.
A practical system for improving lead response, sales scripts, proposal workflows, follow-up, and growth messaging.
A brand execution system that turns positioning, voice, visual direction, and content rules into AI-ready guidelines.
A strategy sprint for teams exploring AI features, MVP scope, product positioning, and AI-enhanced user workflows.
A small set of systems, strategy artifacts, and concept work showing how Sentions turns AI into practical business execution.
A private AI-powered market intelligence and decision-support system designed to organize multi-source evidence, asset context, and structured review workflows.
A concept system showing how a company can use AI to improve SOPs, internal knowledge, customer response, reporting, and team workflows.
An AI-assisted brand system for turning positioning, tone of voice, visual direction, content rules, and prompt libraries into a repeatable brand execution workflow.
A creative production system for generating ad concepts, scripts, visual prompts, campaign variations, and testing angles with AI.
An archive case study covering prior brand strategy, marketing planning, campaign structure, positioning, and commercial communication work.
Process overview
The process is intentionally simple so clients can move from scattered AI ideas to a deployable workflow or strategy artifact.
1.
Clarify the business problem, constraints, and highest-value AI opportunity.
2.
Turn scattered inputs into a practical workflow, system map, or rollout path.
3.
Define the operating rules, prompts, templates, and handoff structure.
4.
Create the usable strategy asset, workflow, assistant, or production system.
5.
Review real usage and refine the system so adoption becomes easier.
Final contact CTA
Let's map the system and define the first practical deployment.
Contact Sentions to discuss AI operations, sales systems, brand systems, AI ads, creative production workflows, or product strategy projects for remote international collaboration.
Suitable inquiries