AltR AI

The Performance Orchestration Engine

Not an AI feature: the system that powers performance intelligence

AltR is a proprietary AI engine built on a Small Language Model (SLM) that captures, structures, and connects performance data across your organization. It transforms performance management from manual workflows into a continuous, signal-driven system and gives every manager & leader a conversational interface to query that intelligence in plain language, without dashboard or reporting building.

Why AI in Performance Tools Falls Short Today

Most AI solutions are layered on top

Most AI solutions in HR tools are layered on top of existing workflows.

1They generate text, but lack real context
2They depend on manually entered data
3They assist tasks, but do not change the system
4They still rely on humans to construct performance

These tools improve output, but not the underlying process.

AltR is fundamentally different

AltR is not a wrapper on generic AI models.It is an orchestration engine built into the system itself.

1Captures signals from real work
2Structures performance automatically
3Connects every stage of the lifecycle
4Generates outputs based on actual execution

Performance is no longer written, it is continuously constructed.

How AltR Works

Capture Signals (Proprietary SLM)

AltR uses a Small Language Model to capture contextual signals from tools like Jira, HubSpot, GitHub, Slack, Teams, and email. Progress, activity, and execution patterns are captured in real time, without requiring manual input from employees or managers.

Structure Performance Automatically

Signals are transformed into structured data across goals, feedback, skills, and performance. Every input is connected to the right context so nothing needs to be reconstructed later.

Connect the Performance Lifecycle

AltR links execution, feedback, reviews, development, and outcomes into one system. A signal captured in a goal update can inform a feedback baseline, a review summary, and a development plan, automatically.

Generate Intelligence and Outputs

AltR powers insights, summaries, recommendations, and final outputs across the platform. Managers refine decisions. They do not compile them.

Answer Questions in Plain Language (Conversational Intelligence)

AltR is also the intelligence interface inside PossibleWorks. Managers and leaders can query organisational performance data by simply asking, in the same way they would ask a well-informed colleague.

No dashboards to build. No reports to run. No data team required.

Built on Trust, Not Just Intelligence

WITHOUT AltR AI

Unrestricted and reactive

Access is not strictly hierarchy-bound
Visibility rules are inconsistent across teams and roles
No intent-aware intelligence
Queries are processed in isolation without understanding context
No guided exploration
Users must manually decide what to ask and where to go next

WITH AltR AI

Bounded, contextual, and guided

Every query is hierarchy-bound by design
Managers only access data for their direct reports and sub-teams
Powered by MCP (Model Context Protocol)
Understands intent, retrieves the right data, and maintains context
Proactive guidance built into the flow
Surfaces next-best questions based on emerging insights

From Manual Effort to Cognitive Relief

Performance systems fail because they depend on effort.
AltR removes that dependency.

Up to 85% reduction in manual documentation

No blank-page feedback or reviews

No reconstruction of past work from memory

The Intelligence Layer Across PossibleWorks

Goals

Generates KPIs, AKRs, and QKRs using organizational context

Feedback

Builds system-generated baselines from real work signals

Reviews

Assembles composite performance context before evaluations

Skills

Infers capabilities from the execution patterns

Compensation

Structures decision-ready outputs and the documentation

Analytics

Surfaces execution patterns, capability distribution, and performance anomalies

Signature AltR Capabilities

Tri-Reference Model

AltR anchors every review on three independent inputs: an AI-generated evidence baseline, employee self-assessment, and manager evaluation. By combining work signals, goals, initiative progress, and collaboration data, feedback becomes evidence-backed, bias-resistant, and structurally more objective than traditional one-view appraisal systems.

IDP Auto-Trigger

AltR automatically converts low performance ratings into action. When feedback falls below threshold, it instantly generates an AI-powered Individual Development Plan with recommended learning paths, enabling managers to review, activate, and launch development interventions without separate workflows, tools, or manual follow-up.

Statistical Scoring for Initiatives

AltR uses statistical scoring to measure initiative performance with confidence-adjusted rigor. By factoring completion quality, delivery discipline, and consistency, it prevents inflated ratings, penalizes delayed execution, and delivers mathematically defensible productivity measurement beyond conventional performance platforms.

Traditional AI vs AltR

Capability

Generic AI Tools

AltR AI

Context

User-provided

Derived from work signals

Data

Manual input

Continuous capture from operational systems

Role

Assistant

Orchestration engine

Output

Text

Structured performance intelligence

Scope

Task-level

Full performance lifecycle

Adoption dependency

Requires consistent manual input

Functions even with minimal manual interaction

Architecture

GPT wrapper

Proprietary SLM built into the system layer

Performance construction

Retrospective

Continuous from work activity

Cognitive load impact

Reduces writing effort

Reduces total system effort by up to 85%

Skills connection

None

Live capability mapping inferred from real execution

Lifecycle coverage

Individual task or feature

Goals → Feedback → Reviews → Development → Compensation

Built on the Signals from Your Existing Stack

AltR captures contextual signals from the tools your teams already use every day.

Measurable Impact of the AltR Architecture

Stronger alignment between organizational KPIs and employee skill deployment

AltR connects signals to goals to skills

Increase in manager check-in consistency

AltR-assisted context removes the friction that causes managers to avoid feedback conversations

30–40%

Faster identification of capability gaps

AltR infers skill signals from real execution, enabling faster gap detection

25–35%

Measurable improvement in performance outcomes

The aggregate outcome of the cognitive relief and signal-driven architecture

Frequently Asked Questions

AltR AI is the performance intelligence engine inside PossibleWorks. It automatically captures work signals from real work tools, structures performance data across goals, feedback, skills and reviews, and gives managers a plain-language interface to query that intelligence instantly. It transforms performance management from a manual process into a continuous, signal-driven system.

Turn Performance into Intelligence

AltR transforms performance from a manual process into a continuous, structured system powered by real work signals.