Mission Engine
Turn recruitment intelligence into prioritised, governed and measurable missions.
Detect → Prioritise → Act → Monitor → Learn
One reusable mission architecture now connects evidence, ownership, priority, execution readiness and rule provenance.
The Mission Engine is now consuming intelligence output
Mapped missions inherit their rule provenance, finding, affected population, confidence, priority and recommended state from the deterministic intelligence engine. Human-governed mission metadata remains controlled by the mission foundation.
Taleforth can now evaluate a portfolio of mission rules in parallel
V0.12 separates the reusable multi-rule engine from the individual Rulebook mappings. Only approved mappings can become executable intelligence.
The executable engine now has an authoritative Rulebook activation layer
Every Rulebook ID is reserved in the engine. A rule only becomes executable when its exact approved definition, conditions and mission mapping are present.
MI-031 · Application completion constraint
Mapped to MIS-001 and evaluated from structured recruitment signals in the deterministic engine.
Every MI rule now has an explicit governance state
Taleforth can distinguish between rules that exist, rules that are executable, rules that were evaluated, rules that triggered, and rules that produced missions, outcomes and learning.
Traceable from evaluation to learning
New MI rules must prove they are safe and executable before activation
V0.15 adds a repeatable activation process: approved definition, signals, deterministic conditions, finding evidence, mission mapping, tests and governance.
MI-031 passes all seven activation gates
Rulebook Expansion I
MI-032 to MI-035 are the first reserved activation batch. They remain blocked until their exact approved Rulebook definitions are supplied.
A rule must prove both trigger and no-trigger behaviour
MI-031 is the reference contract for every future deterministic rule.
Material completion constraint triggers
All three MI-031 deterministic conditions are satisfied.Healthy completion trajectory stays clear
MI-031 should not produce a finding when the constraint conditions are absent.The Rulebook is now a reusable system object, not scattered rule code
Every MI rule now conforms to one registry contract covering lifecycle, version, signals, deterministic conditions, evidence, mission mapping, tests and governance.
Application completion constraint
Detect when application completion is materially constraining the recruitment forecast and a recoverable incomplete population exists.
Rule changes create a new governed version
The existing version remains auditable. A new version supersedes it only after approval; historical findings retain their original rule version.
Institutional recruitment data now enters Taleforth through a canonical data layer
Source systems no longer feed intelligence directly. Taleforth maps external data into canonical recruitment objects, records ingestion lineage, then produces governed recruitment signals.
Admissions platform
Primary applicant, application, offer and journey-status source.
MIS / student records
Future enrolment, student identity and downstream confirmation source.
Events & assessment scheduling
Assessment capacity, bookings and event attendance source.
CSV import
Controlled fallback import for institutions without an API connection.
Forms
Future source for supplemental recruitment forms and declarations.
Forecast configuration
Cycle recruitment target and current deterministic forecast.
External field names are separated from Taleforth’s internal model
This lets different institutions map their systems into the same intelligence architecture without changing the Rulebook.
Every source-to-model movement is traceable
SRC-APPLICAA → CanonicalApplicantRecord
819/819 accepted · 0 rejected
Applicant IDs normalised.SRC-EVENTS → CanonicalCycleRecord.assessmentCapacity
1/1 accepted · 0 rejected
Assessment capacity accepted as non-negative integer.SRC-FORECAST → CanonicalCycleRecord
1/1 accepted · 0 rejected
Recruitment target and forecast starts accepted.SRC-CSV → CanonicalApplicantRecord
0/0 accepted · 0 rejected
No CSV import used in current demo snapshot.Taleforth now understands where applicants are, how long they have been there, and where movement is slowing
Canonical applicant records are converted into governed journey states and transitions. Time-in-stage and stage conversion now become reusable intelligence inputs.
Where is applicant movement slowing?
Bottlenecks are journey evidence, not admissions decisions. They can later become governed MI-rule inputs.
Applicants are accumulating in application started beyond the target time-in-stage.
346 affected346 applicants stalled · Target maximum time in stage is 14 days · Applicants remain outside application-complete stateJourney performance can now be compared by recruitment segment
Taleforth now knows where recruitment should be, not only where it is
Targets, expected position by date, actual pace and projected starts are now governed system objects. Pace variance can become reusable intelligence evidence.
234 projected starts against a target of 500
Current accepted volume implies a projected variance of -266. Taleforth calculates how much additional acceptance is required to close the gap.
Which recruitment areas are on course to hit their final starts target?
48 projected / 110 target
-62 projected variance · 65 more accepted required47 projected / 100 target
-53 projected variance · 56 more accepted required47 projected / 110 target
-63 projected variance · 66 more accepted required47 projected / 80 target
-33 projected variance · 35 more accepted required47 projected / 100 target
-53 projected variance · 56 more accepted requiredTaleforth now models where recruitment could finish — and what recovery would require
Forecasts combine current journey conversion with governed target data to produce current, downside and recovery scenarios, confidence bands and weekly pace requirements.
Recruitment conversion weakens from the current observed trajectory.
220–238 confidence band · -271 vs targetRecruitment continues at the current deterministic trajectory.
236–256 confidence band · -254 vs targetFocused intervention improves future application, offer and acceptance conversion.
292–316 confidence band · -196 vs targetWhat needs to happen from here to close the current target gap?
The pace requirement translates the remaining start gap into accepted applicants, offers and applications needed per week.
Where does the current trajectory require attention?
Whole cycle is projected below target
Current trajectory projects 246 starts against a target of 500.
-254 projected start variance · 236 to 256 confidence range · high forecast confidenceTechnical is projected below target
Current trajectory projects 53 starts against a target of 110.
-57 projected start variance · 49 to 57 confidence range · medium forecast confidencePost Production is projected below target
Current trajectory projects 49 starts against a target of 100.
-51 projected start variance · 46 to 52 confidence range · medium forecast confidenceFilm Production is projected below target
Current trajectory projects 54 starts against a target of 110.
-56 projected start variance · 50 to 58 confidence range · medium forecast confidenceCraft is projected below target
Current trajectory projects 47 starts against a target of 80.
-33 projected start variance · 44 to 50 confidence range · medium forecast confidenceProduction Management is projected below target
Current trajectory projects 49 starts against a target of 100.
-51 projected start variance · 46 to 52 confidence range · medium forecast confidenceTaleforth now connects recruitment risk to governed intervention options
Journey, pace and forecast evidence are consolidated into risk objects with root cause, urgency, affected population and intervention suitability.
Incomplete applications are accumulating beyond the expected journey window
The strongest controllable current risk remains the recovery of incomplete applications.
Current recruitment trajectory is projected below the final starts target
The recruitment pace engine indicates a remaining cycle-level gap that requires recovery activity.
Technical applications pace is materially behind expected position
Technical applications performance requires attention against the expected recruitment pace.
Technical offers pace is materially behind expected position
Technical offers performance requires attention against the expected recruitment pace.
Technical accepted pace is materially behind expected position
Technical accepted performance requires attention against the expected recruitment pace.
Post Production applications pace is materially behind expected position
Post Production applications performance requires attention against the expected recruitment pace.
What should the recruitment team consider doing next?
Recommendations order operational options by risk urgency and intervention fit. Execution remains human-governed.
Targeted completion reminder
Send a blocker-specific completion reminder to recently active incomplete applicants.
Application support review
Review stalled incomplete applicants for common blockers and support needs before outreach.
Assessment capacity intervention
Review and expand assessment capacity where demand materially exceeds available slots.
Pathway recovery campaign
Create a pathway-specific recruitment recovery workflow for an underperforming segment.
Offer acceptance follow-up
Prioritise outstanding or recently issued offers for targeted acceptance follow-up.
Recruitment event intervention
Create or promote a targeted event where additional engagement is likely to improve conversion.
Pathway recovery campaign
Create a pathway-specific recruitment recovery workflow for an underperforming segment.
Offer acceptance follow-up
Prioritise outstanding or recently issued offers for targeted acceptance follow-up.
Recommendation does not mean automatic execution
Recommendations now pass through explicit readiness and approval gates before mission execution
Taleforth converts risk-linked intervention recommendations into governed plans, suppresses duplicates, checks execution readiness and produces mission handoffs only when every required gate is satisfied.
Which intervention plans are genuinely ready for a human decision?
Approval-ready means evidence, fit, governance, priority, suitability and mission mapping are all satisfied.
Targeted completion reminder
346 affected · urgency 100/100 · suitability 85/100
MIS-001A plan must pass every gate before it can enter mission execution
Only governed plans can become executable mission work
1 current plan is technically ready for Mission Engine handoff.
Human approval now becomes a governed, traceable mission-state transition
Taleforth records approval decisions, validates activation contracts and creates an auditable mission activation event only when every blocking gate is satisfied.
Approval is an explicit event — not an inferred system state
Every decision records who decided, when, why and the evidence snapshot available at that moment.
PLAN-001
Risk evidence, intervention fit and mission mapping satisfy the current activation contract.
Readiness 100% · Urgency 100/100 · Suitability 85/100 · Mission mapping MIS-001A mission can only move from Ready → Active through a valid contract
100% activation score on the highest-priority contract.
Governed mission activation recorded
1 mission has moved into Active with a complete provenance chain.
Every material governance event remains traceable
Mission moved from ready to active.
Admissions Lead · MIS-001-RUN-2026-01Activation contract ACT-001 passed all required gates.
Taleforth Activation Engine · MIS-001-RUN-2026-01APPROVE: Risk evidence, intervention fit and mission mapping satisfy the current activation contract.
Admissions Lead · PLAN-001Targeted completion reminder prepared for Whole cycle.
Taleforth Orchestration Engine · PLAN-001Application support review prepared for Whole cycle.
Taleforth Orchestration Engine · PLAN-002Assessment capacity intervention prepared for Whole cycle.
Taleforth Orchestration Engine · PLAN-003Pathway recovery campaign prepared for Whole cycle.
Taleforth Orchestration Engine · PLAN-004Offer acceptance follow-up prepared for Whole cycle.
Taleforth Orchestration Engine · PLAN-005Recruitment event intervention prepared for Whole cycle.
Taleforth Orchestration Engine · PLAN-006Pathway recovery campaign prepared for Technical.
Taleforth Orchestration Engine · PLAN-007Activated missions now become controlled operational work with measurable execution evidence
Taleforth groups approved work into governed action batches, records execution state, captures delivery and response evidence, and produces measurable mission outcomes for the learning loop.
Execution is grouped, owned and governed
Each active mission produces an operational batch with a defined channel, owner, population and execution state.
MIS-001-RUN-2026-01
346 targeted · owner Admissions
Governance approvedEvery mission result remains connected to observable execution evidence
45 evidence events currently connect delivery, response and completion back to mission execution.
Mission outcomes now become structured learning without silently changing the Rulebook
Taleforth converts execution evidence into observations, confidence, evidence strength and human-review recommendations that can inform future missions.
Observed mission outcomes require further evidence before stronger conclusions
7 of 24 contacted records completed downstream, with 14 observed responses.
What should Taleforth suggest for future human consideration?
Recommendations can propose repeat, refine, test, monitor or retire — but cannot automatically change future behaviour.
Collect another comparable evidence window before wider reuse
7 downstream completions were observed. Observed conversion is 29%. Learning confidence is medium with strong evidence.
No automatic rule impact · human review requiredReview the gap between engagement and downstream completion
7 observed responders have not yet completed downstream. Future intervention design may benefit from more specific blocker resolution after engagement.
Rule review candidate · human review requiredLearning informs the system — it does not silently rewrite it
2 learning items are ready for human review
Taleforth now governs the data signals before rules consume them
Recruitment data is converted into typed, quality-checked and freshness-aware signals. Derived metrics are calculated centrally so every MI rule uses the same definitions.
Calculated once, reused everywhere
Derived recruitment metrics are produced from governed source signals rather than being recalculated differently inside each MI rule.
Taleforth now arbitrates intelligence before it becomes a mission
Findings can generate competing mission candidates. The arbitration layer decides what is promoted, watched, suppressed or blocked before Mission Control renders it.
Only governed, prioritised candidates move forward
Traceable across the whole intelligence pipeline
MI-031 is now being evaluated from underlying signals
The visible MIS-001 mission is no longer just a card concept. V0.10 introduces the first executable path from structured recruitment signals to an evidence-backed mission candidate.
Application completion is limiting the forecast
A large recoverable incomplete population exists while completion conversion remains below the required trajectory.
Recover incomplete applications
Taleforth will not invent MI rule IDs. Missions become executable intelligence only when mapped to the approved Rulebook.
What needs attention now?
Recover incomplete applications
A large recoverable incomplete population exists while completion conversion remains below the required trajectory.
Recover offer acceptance
Seven offers remain outstanding at a late, high-value point in the recruitment journey.
Protect strategic cohort representation
A priority cohort is under-converting relative to the accepted-applicant representation target.
Protect assessment capacity
Assessment demand is approaching the planned capacity of the next window.
Recover event conversion
Recent events are generating engagement, but attendee movement into completed applications is weaker than desired.