Skill-based adaptive learningfor your team
Nobody sits through what they already know. fkra works out what each person is missing, and builds the next lesson around that.
Amina was ready before the title was.
Week 6 · Hiring panelTeam-lead seat opened
fkra tracked the decisions she rehearsed and the evidence her manager logged. When the team-lead seat opened, her readiness, not her tenure, made the case. The leadership path was already half complete.
A role that didn’t exist last quarter.
Hamza T. · 11 of 14 capabilities coveredPath drafted · 3 modules to close the gap
When AI Operations appeared on the org chart, fkra assembled its skill map from company knowledge, found the three closest people, and drafted an adaptive upskilling path for each.
The policy changed Tuesday. Teams were current by Friday.
100% attested · 3 days
§3.2 · the new boundary
Discounts up to 20% at the rep’s discretion
Discounts stop at 12% without approval
fkra sensed the update, refreshed every affected course, and routed role-specific practice: sellers rehearsed the new boundary, support rehearsed the new promise. Nobody scheduled a training day.
One module. Four ways in.
UDL by defaultCaptions · transcript · RTL
fkra reads how each person learns, their preferred format, pace and language, and reshapes the same module to fit: video for the visual learner, a hands-on lab, audio for the commute, a brief for readers. Built on UDL: captions, transcripts, and Arabic-first RTL by default.
Every promotion, new role, and policy: already in motion.
Readiness tracked per person, courses refreshed from the source, and practice routed by role, before anyone books a training day.
Most learning systems ask,
“What should we assign?”
fkra asks,
“What does this person need to become capable of next?”
Nadia· Path Planner
Rafiq· Course Builder
Lina· Skills Mapper
Noor· Wiki Curator
Sara· Learner Tutor
Majed· Recommender
Dana· Rubric Grader
Tariq· Certificate Issuer
Fahad· Nudge Agent
Khalid· Deadline Sentinel
Reem· Enrollment
Yara· Cohort Matching
Amal· Translator EN·AR
Hadi· Media Transcoder
Omar· Compliance Auditor
Zaid· Report WriterWatch an agent run the loop.
Nadia · Path PlannerPLANNINGAn agent for every job in L&D.
A workforce of specialists on shift right now, not one chatbot bolted on. Filter a job; watch its crew light up.
NadiaPath PlannerRafiqCourse BuilderLinaSkills MapperNoorWiki CuratorSaraLearner TutorMajedRecommenderDanaRubric GraderTariqCertificate IssuerFahadNudge AgentKhalidDeadline SentinelReemEnrollmentYaraCohort MatchingAmalTranslator EN·ARHadiMedia TranscoderOmarCompliance AuditorZaidReport WriterScroll through the product.
Three screens, three roles: the author who reviews, the learner who plays, the manager who reads the report.
Review the agent’s draft
Every module arrives with its source cited. Approve the plan, edit a stage, or send it back, and the agent revises.
A home screen that plays to win
Points, streaks, leaderboards, team challenges, and modules that react to how each person learns.
Reports written before you ask
Coverage by department, an at-risk queue with the nudge already drafted, and a compliance report in your inbox before the audit asks.
27 module types.
Four ways to learn.
Absorb, Connect, Evaluate, Practice: every path mixes all four, adapts through the fkra loop of feedback, knowledge, reflection and action, and is built on UDL accessibility principles. Modules adapt to the learner: pace, modality, and difficulty shift per person.
Fits the stack you already run.
Autonomy you can audit.
Built for organizations where training is regulated, mandatory, and measured. Agents get autonomy; you keep control.
SSO, SCIM & RBAC
SAML single sign-on, automated provisioning, and a role-permission matrix that goes down to the field.
Full audit trail
Every human and agent action logged with actor, source, and geo. Searchable, filterable, exportable.
Human-in-the-loop
Agents propose; named owners approve. Review gates on everything that ships to learners; loosen them per workflow when you’re ready.
Data protection
Encryption in transit and at rest, tenant isolation, and regional data residency options.
Governance controls
Feature flags, term policies, password history, session controls, tuned per tenant.
Bilingual by design
English and Arabic as first-class locales: RTL-native layouts, localized module types, bilingual agents.
Teams that stopped building slides.
“We uploaded our safety manual on a Tuesday. By Thursday, 4,000 field engineers were mid-course.”
“Compliance went from a quarterly fire drill to a dashboard we glance at on Mondays.”
“Our authors stopped building slides and started reviewing agent drafts. Output tripled.”
The questions procurement asks.
What does “agentic” actually mean here?
fkra ships 30+ specialist agents: Course Builder, Quiz Writer, Enrollment, Report Writer, and more. Each runs the same visible loop: it plans, it acts, it reports. You see every step, and every action lands in the audit log.
Do agents publish anything without review?
No. Human-in-the-loop is the default: agents propose, named owners approve. Once you trust a workflow, you can loosen its review gate, per workflow, per tenant.
What can agents build from?
PDFs, slide decks, docs, wikis, video transcripts, and existing SCORM packages. The agent cites its sources: every quiz question links back to the page it came from.
How is learning personalized?
Modules ship in four formats: visual, aural, read/write, and kinesthetic. They adapt through the fkra loop: feedback, knowledge, reflection, action. fkra is short for framework for knowledge reasoning and adaptation. Pacing, difficulty, and nudges adjust to each learner, and the modules meet Universal Design for Learning guidelines.
Does it work in Arabic?
English and Arabic are first-class locales: RTL-native layouts, localized module types, and a Translator agent that keeps both versions in sync.
How long does rollout take?
A pilot takes days: SSO and SCIM on day one, your content imported, and the first agent-built course live in week one.
Your next course is already half-built.
Book a 30-minute demo. Bring a real policy document. Leave with a live course draft the agents built while we talked.