AI Workforce Intelligence

Build the AI-ready workforce your strategy depends on.

Key takeaway myndQ is Ariana.Digital’s workforce intelligence platform — Skills Circuits upskill who can supervise agents; TalentHub staffs the specialists you cannot grow; evidenced hiring keeps the audit trail.

Companies are buying agents faster than they can staff the people who supervise them. myndQ runs Skills Circuits on the team you have, then fields scarce specialists through TalentHub. It is the workforce companion to the AEGIS operating model.

Skills Circuits first TalentHub for specialists Human-verified Responsible AI

For talent: build and demonstrate your skills in the myndQ Talent portal.

For organizations

See who can halt an agent, retrieve a transcript, and own the workflow. Then turn the gaps into a circuit: assess, coach, and re-assess against the role.

For talent

Practice the same interviews employers run. Build a profile on demonstrated capability, then get visible for roles that need it.

The platform behind the offerings

Five modules, one connected system.

Solutions: Circuits first. Staffing and hiring when the team you have is not enough.

01
Skills Circuits: Assess, Coach, Enrich Short assessments, targeted coaching, and live sessions on webinar.myndq.ai. Circuits score the work that now matters: who can grant an agent entitlement, halt a run, retrieve the transcript, and redesign the workflow.
02
Workforce AI Readiness Adoption stalls when you cannot see who is ready to supervise agents or what each role needs next. myndQ turns that into a roadmap for the people already on payroll.
03
AI-Ready Talent Pipeline TalentHub is for the specialists you cannot grow in time: engineers, designers, operators, and enablement leads already doing the work. Matching sits on demonstrated capability.
04
AI-Powered Hiring Intelligence For specialized and high-stakes roles, the job’s requirements become the interview rounds. AI leads; your team keeps the decisions that change a career. Transcript, rubric, and decision stay retrievable.
05
AI Enablement Services Pair the workforce plan with the foundations required to scale AI: experience design, data readiness, agentic workflows, governance, and security. Ariana Digital connects talent strategy to the systems that make the work valuable.

Skills Circuits: Assess, Coach, Enrich

Upskill the team you have before you hire past them.

Key takeaway Skills Circuits are the volume path: score entitlement, halt, transcript retrieval, and workflow redesign on the people already on payroll, then coach and re-assess until the evidence is retrievable.

Short assessments, targeted coaching, and live sessions on webinar.myndq.ai. Circuits score the work that now matters: who can grant an agent entitlement, halt a run, retrieve the transcript, and redesign the workflow. On video, a round stays a skills assessment unless you lock it into role play. See also the Ariana hub: Skills Circuits glossary.

1
Assess Short, targeted assessments surface real skill gaps against the role.
2
Coach Personalized feedback and coaching close the gap that was found.
3
Enrich Live training on webinar.myndq.ai, then re-assessment, turns progress into evidence.

Assess more than one kind of performance.

Five modes. Writing and video score supervision: entitlement, halt, transcript, workflow. On video, the default is a skills assessment.

Chat Explore reasoning through structured conversation.
Quiz Check knowledge with configurable question banks and randomized attempts.
Writing Evaluate judgment on entitlement, halt, transcript retrieval, and workflow design against a defined rubric.
Coding Assess hands-on technical work in a browser-based coding environment.
Video A live skills assessment or role-play scene. Score whether the person can supervise the agent. Interviewers get a private live rubric; the official score comes after the call.

How Skills Circuits work

  1. Assess. Role owners define rubrics on assessor.myndq.ai for supervision skills: who may grant entitlement, who can halt a run, who can retrieve the transcript, and who can redesign the workflow. Individuals take short assessments on assess.myndq.ai.
  2. Coach. Gaps become targeted coaching — not generic e-learning. Feedback maps to the same rubric the enterprise will defend in an audit or AEGIS control review.
  3. Enrich. Live sessions on webinar.myndq.ai deepen practice; re-assessment records whether the gap closed. The circuit ends when evidence is retrievable, not when a course is marked complete.

Under the AEGIS operating model, those four supervision skills are the workforce half of governed agent ops. AEGIS names the halt owner and evidence path; Skills Circuits prove the person can do the job.

Hiring Intelligence

When you do hire, hire against the role, with evidence.

Key takeaway Evidenced hiring turns job requirements into interview rounds; AI leads, humans keep career-changing decisions, and the transcript, rubric, and decision stay retrievable.

For specialized and high-stakes roles, job requirements become the interview rounds. Candidates apply against that bar. AI leads; your team keeps the decisions that change a career. The transcript, rubric, and decision stay retrievable.

STEP 1 Job requirements to rounds The role’s requirements become the interview rounds a candidate will face.
STEP 2 Apply Candidates apply and are evaluated against that exact bar.
STEP 3 Assess AI leads each round; a human reviewer joins wherever your policy requires it.
STEP 4 Qualify A clear decision, with the evidence behind it, at the end.
Multi-round, role-specific assessments
Live AI video and voice interviewing
Transparent evaluation criteria and interview records
Skills evidence, not just a score
Transcript, rubric, and decision you can retrieve

How the evidenced hiring pipeline works

  1. Job requirements to rounds. On hr.myndq.ai, the role’s requirements become the interview rounds a candidate will face — not a generic question bank.
  2. Apply. Candidates apply against that exact bar so screening starts from the same criteria reviewers will use later.
  3. Assess. AI leads each round (video, voice, skills). A human reviewer joins wherever policy or regulation requires it.
  4. Qualify. A clear decision ships with the transcript, rubric, and rationale attached — a retrievable audit trail for HR, not a black-box score.

TalentHub (talent.myndq.ai) is the scarce-senior path when Circuits cannot grow the skill in time. Ariana’s AI Talent Bench explains how specialists join delivery.

Workforce FAQ

What are Skills Circuits?

Skills Circuits are myndQ’s Assess → Coach → Enrich path for people already on payroll. Short assessments score agent-supervision skills (entitlement, halt, transcript retrieval, workflow redesign), coaching closes the gap, and live sessions plus re-assessment turn progress into evidence.

How does myndQ relate to Ariana.Digital and AEGIS?

myndQ is the workforce intelligence platform of Ariana Digital LLC. It is the AI Workforce pillar alongside AI Readiness, AI Services, and the AEGIS operating model. AEGIS defines halt owners and evidence; myndQ scores who can actually supervise agents.

What is evidenced hiring on myndQ?

Evidenced hiring turns job requirements into interview rounds on hr.myndq.ai. AI leads role-specific assessments; human reviewers keep decisions that change careers. The transcript, rubric, and decision remain retrievable for HR audit trails.

When should we use Skills Circuits versus TalentHub?

Use Skills Circuits for volume upskilling of the team you already employ. Use TalentHub when you need scarce senior specialists you cannot grow in time. Most enterprises run Circuits first, then fill residual gaps with TalentHub.

Schedule a platform demo →

Delivery partner network

Anthropic
OpenAI
Microsoft
Salesforce
ServiceNow
Databricks
Snowflake
NVIDIA Inception
Adobe

Proof, not adjectives

Workforce AI Readiness Map who can supervise agents today, then run Skills Circuits on the gaps. The volume path is the team you already employ. See how circuits work →
AI-Ready Talent Pipeline TalentHub fields the specialists you cannot grow in time: engineers, designers, operators, and enablement leads already doing the work. Explore the TalentHub →
AI Enablement Services Move from AI ambition to an operating model that delivers: experience design, data readiness, agentic workflows, governance, and security. Plan your AI transformation →

For talent

Practice. Prove your skills. Find work that fits.

A more useful alternative to generic interview prep: adaptive AI interview practice, personalized feedback, skill-gap guidance, and a profile built around demonstrated capability.

AI Interview Practice Rehearse real conversations for the roles you want, not generic question lists.
Personalized Feedback See strengths, growth areas, communication patterns, and next steps after every session.
Skills Assessment Build credible evidence of what you can do in an AI-enabled workplace.
Career Direction Identify relevant roles, skill gaps, and learning priorities based on your experience.
Standout Profile Give hiring teams a clearer picture of your capability beyond a résumé.
★★★★★

"I like the way the AI chatbot asked the question. It was quite intentional and directional based on the context."

Candidate feedback, AI-led video interview
★★★★★

"Most hiring platforms focus on collecting resumes. This one focuses more on helping candidates demonstrate their abilities: practising realistic, role-specific interviews with an AI interviewer, building a profile that reflects how you think and communicate, and getting matched to opportunities based on demonstrated capability. It feels designed to help candidates prepare and improve, rather than simply filter them out."

LinkedIn, candidate review of myndQ.ai (beta)
Start practicing free →

Trust and responsible AI

AI can accelerate decisions. People must remain accountable for them.

Workforce decisions affect careers, teams, and businesses. That is why myndQ is designed around transparent criteria, role-relevant evidence, observable assessment processes, and human oversight where it matters most.

Learn how we build trust →
myndQ A-team talent

Relevant regulatory context our workflow is designed with in view:

VERIFIED EU AI Act · Art. 50 Transparency obligations apply today
CITED NYC Local Law 144 Annual bias audit, in force
CITED Illinois HB 3773 Notice requirements, in force
CITED ISO/IEC 42001 Increasingly contractual
CITED NIST AI RMF Increasingly contractual

The Ariana Digital throughline

One engagement. Four layers. A named owner all the way through.

Visit ariana.digital →
01 AI Readiness Transformation Readiness Diagnostic: a dimension-level gap map, not a maturity quiz.
02 AEGIS Governance Agentic Enterprise Governance and Intelligence Standard on ariana.digital: evidence, controls, ownership, and regulatory mapping. myndQ is the workforce companion that scores who can supervise agents under those controls.
03 AI Services Context and knowledge infrastructure, plus AI experience and interaction design.
04 AI Workforce (myndQ) Skills Circuits, TalentHub staffing, and evidenced hiring on myndq.ai — the volume and scarce-senior paths with the AEGIS governance layer already wired in.

Ariana Digital carries the engagement end to end: readiness diagnostic, AEGIS governance, delivery services, then workforce via myndQ — so somebody signs their name to the outcome. myndQ is the explicit workforce companion to AEGIS: governance names the control; Circuits score the person.

Your AI strategy is only as strong as the workforce behind it.

Whether you are hiring critical talent, preparing teams for new ways of working, or building the systems behind responsible AI adoption, myndQ helps you move with clarity and confidence.

Build your AI-ready workforce