Agentic Learning Journeys
Daily learning for the AI-native organization.
Your team already has the domain expertise. We build role-specific learning journeys on your team's actual projects and priorities, so every function learns to work in an AI-native way and turns repetitive work into capacity for the work that matters.
How it works
A holistic approach to AI transformation.
We build a machine-readable Company Brain: how work flows between the teams, projects, tools, and information sources in scope. Your team decides what goes in.
We sit with the people who run the work to learn how each function actually operates today.
A structured readiness assessment for every team, so we build for where each one really is, not an average.
With the leads you name, we catalog the repetitive work worth handing to AI and rank it by impact, factoring in your quarterly and annual OKRs.
Each function gets a learning journey built from your Company Brain, with real assignments tied to live company work, not toy exercises.
You keep the Company Brain and every curriculum, and re-run them as you hire and grow. No retainer required.
Inside the platform
A real look at the daily experience
Not slideware. Learners get a focused daily lesson and a personal AI-readiness profile inside a structured journey — and you get the dashboard to watch it all move.
Curricula by role family
Learn how to become AI-native in your role.
Accounting
Automate reconciliation, accelerate month-end close, and build AI-assisted audit trails.
Finance
FP&A automation, cash flow forecasting, and AI-assisted financial modeling.
Analytics
From dashboards to decisions. Agentic data pipelines, automated insight generation, and self-serve reporting.
Operations
Process mapping, workflow automation, and operational intelligence that turns data into decisions.
Engineering
Spec-driven development with AI. Code generation, test automation, and agentic deployment workflows.
Engineering Management
Sprint planning, technical debt analysis, and team-owned delivery metrics - manage better with AI, not more meetings.
Machine Learning
Advanced workflows for ML teams: evaluation pipelines, fine-tuning strategies, and agentic model deployment.
IT Systems
Ticket triage, infrastructure monitoring, and internal tool automation, so IT spends less time on tickets and more on the systems.
Product
User research synthesis, spec generation, and prioritization frameworks powered by AI - ship faster with less guesswork.
Product Design
Design-to-code workflows, component generation, and rapid prototyping with AI copilots.
Brand
Brand voice consistency at scale. AI-assisted guidelines, asset generation, and messaging frameworks.
Marketing
Campaign ideation, audience segmentation, and content personalization - from strategy to execution.
Advertising
AI-generated creative variants, audience targeting, and campaign performance analysis at speed.
Growth
Experiment velocity, funnel analysis, and faster test-and-learn cycles on acquisition.
Content
Research, draft, edit, publish - with AI at every step. Your writers stay the authors.
Sales
Prospect research, outreach personalization, and deal intelligence - AI does the prep, so every rep walks in ready.
Revenue Operations
Pipeline intelligence, forecasting models, and cross-functional data workflows that sales and finance both trust.
Customer Support
Triage automation, knowledge base agents, and AI-assisted answers that help agents find the right response faster.
Customer Success
Churn prediction, health scoring, and automated playbooks that let CSMs focus on relationships.
Leadership
Strategic decision support, board prep, and AI fluency for executives who need to lead the transformation.
People Ops
Onboarding automation, policy Q&A agents, and HR admin that gives the team time back. No AI scoring of people.
Recruiting
Sourcing research, job-description drafting, and interview preparation. Every hiring decision stays with people.
Legal
Contract review, compliance monitoring, and risk assessment - faster, with AI as the first-pass analyst.
Vs the alternatives
A learning experience that grows with your organization.
Most AI training is horizontal: "Intro to LLMs," the same content for Finance and Legal and Support. It sits unused because it never touches the work. Our curricula are built from a structured assessment of your company's readiness, the skills that make up each job, your actual tools, and your objectives and key results, plus the working methods AI-native teams use today, such as spec-driven development and agent-readable context files.
| Vibrana | Big-4 firms | AI training platforms | DIY / internal | |
|---|---|---|---|---|
| Time to value | 12 weeks | 6–12 months | Instant, but shallow | Months, stalls |
| Cost | $120–250k | $1M+ minimum | ~$750/user/yr | Hidden, high churn |
| Job-family depth | 20+ role curricula | One-off, not reusable | Generic, horizontal | Whatever you build |
| Who owns it after | You do | The firm | The vendor | You, if it survives |
| Adoption measured by | Workflow adoption + outcomes | Final report | Usage dashboards | Rarely measured |
| Best for | Mid-market, role-specific | Fortune 500 | Individuals, light teams | Teams with spare bench |
The flywheel
A learning journey is one turn of a bigger loop.
Vibrana authors AIOS, an open-source agentic operating system. Curriculum here is not a one-off workshop. It is the “Grow” turn of a loop. The more context flows into your Company Brain, the smarter it gets. People build sharper skills, ship more real work, and feed richer context back. Every turn makes the next one faster.
Company Brain
The teams, workflows, decisions, and tools in scope become one map, with each role and its goals in view. Your team decides what goes in, and nobody gets an individual score.
Inside the journey
A daily loop that adapts to how the team actually learns.
Zoom into “Grow” and you find a second flywheel: the day-level engine we run for each job family across a two-week sprint.
Build the skill matrix
We build each department’s skill matrix from a workflow inventory: interviews with the lead and their team, the team’s OKRs, individual AI-readiness assessments, and the tools they use day to day.
Where it goes
From a human in the loop to an agent in every job family.
The loop runs today with a person reading the context. The same signals a person reviews are the ones an agent can monitor, so the roadmap is a straight line, not a leap.
- Today
Human in the loop
We review every completion, end-of-day note, and commit by hand, then retune the next drop. Weekly meetings are transcribed, but only ingested when we are in the room.
- Near-term
Always-on signal capture
Completions, commits, feedback, and every weekly transcript stream in continuously and get auto-summarized, so the loop keeps adapting between our reviews, not just during them.
- Future
A persistent agent per family
A standing agent embedded in each job family watches its signals around the clock, joins the weekly learning meeting, and proposes adaptations to that family’s journey in real time.
The Vision
One agent. One job family. Every signal.
Picture a single persistent agent at the center of one job family: watching the check-offs, reading the commits, hearing the weekly conversation, and quietly reshaping the next two weeks of learning around what that team actually needs. Run it for one family, then for twenty.
Proof
It works, and we measured it.
From our flagship rollout, hundreds of personalized journeys, dozens of cities, four languages, and over 3,200 pieces of applied work submitted.
the completion of typical self-paced training (industry norm: 3–20%)
role-specific journeys, each mapped to real department workflows
pieces of applied work submitted, real tasks, not logins
Pricing
Priced as a system, not a seat license.
We build a learning system mapped to how your company actually works, then run it live and improve it every week. When we're done, the Company Brain and the curriculum are yours.
Interview your stakeholders, map your Company Brain, customize a journey for each department.
Every person on a journey. Enroll a department, a function, or the whole company.
We adapt the curriculum every week off daily feedback, so a 12-week program compounds more than a 6-week one.
| Company | First-wave cohort | Program | Setup | Learners | Live weeks | Est. total |
|---|---|---|---|---|---|---|
| ~100 people | 80 learners · 4 depts | 6 weeks | $30k | $24k | $12k | ~$66k |
| ~500 people | 200 learners · 7 depts | 12 weeks | $45k | $95k | $33k | ~$173k |
| ~1,000 people | 320 learners · 10 depts | 12 weeks | $60k | $152k | $33k | ~$245k |
You don't train everyone at once, we phase by department and priority, and you re-run the curricula yourself as you grow (you own them). Final scope is set on a call.
Our price range for a mid-market engagement: $120k–$250k, set by headcount and job families in scope. You own the Company Brain and the curriculum after the engagement.
The handover
Pick the roles. We build the journeys. Then we hand you the keys.
We map your Company Brain, run a live curriculum for every department, and sharpen it every week off real learner signal. When the engagement ends, the Company Brain and the curriculum are yours to keep.
- You own the Company Brain and every curriculum. No retainer, no lock-in.
- Rolled out phased by department, not a one-day training everyone forgets.
- You re-run the journeys yourself as you grow: new hires, backfills, new teams.
A live look at the journeys we would build for your roles. No slide deck.