EFF / WK–02AI Work

Drawing EFF / WK–02 · AI systems register

Effority products and selected AI work.

Proprietary AI platforms developed by Effority, alongside selected enterprise systems and recovery engagements that demonstrate the engineering experience inside the firm.

01Effority products

Proprietary AI products, engineered by Effority.

Telynt and Synth are developed and owned by Effority, with separate product identities built on the same production engineering standard.

P01Effority product / Agentic enterprise platform

Telynt Agentic Enterprise Platform

Build, govern, and deploy AI across any part of the organization.

Telynt is an open, extensible enterprise platform for building and operating versioned AI agents, workflows, data models, integrations, and adaptive user interfaces. It provides governed deployment across development, testing, staging, and production, with complete traceability, compatibility management, rollback, and a marketplace for installing, sharing, and commercializing reusable solutions.

  • Versioned AI assets
  • Governed promotion
  • Traceability & rollback
P02Effority product / Stateful multi-agent platform

Synth

AI-powered emotional accompaniment and interpersonal coaching platform.

Synth supports people navigating conflict, separation, reconciliation or difficult relationship decisions. It uses the user's own principles and values as the frame for helping them process events, understand another perspective, rehearse a conversation or draft a message — without pushing toward a predetermined outcome. A longitudinal case graph preserves structured context across sessions instead of treating the relationship as a transcript.

  • Stateful graph runtime
  • Longitudinal case graph
  • Isolated agent subgraphs
  • Behavioral regression evaluation
02Selected AI experience

Different intelligence. Different failure boundaries.

Four cases selected for the AI uncertainty, engineering responsibility and operating boundary each one had to contain.

A01 / Confidential AI engagement

AI delivery recovery assessment under a fixed deadline

We entered an in-flight AI initiative facing a fixed milestone and material uncertainty across scope, architecture and delivery readiness. Technical due diligence re-established the system boundary, isolated milestone-critical scope and defined a staged recovery plan.

Recovery decision

A staged path to the mandatory milestone, with residual risks documented and sequenced into a post-milestone engineering backlog.

A02 / Regulated enterprise knowledge

Banking document intelligence & RAG

An enterprise knowledge system spanning secure document ingestion, tenant-isolated retrieval, grounded response generation, real-time streaming and the interfaces required to manage documents, users and system state.

System boundary

Ingestion, retrieval, answer generation, user experience and evaluation engineered as one operating system.

A03 / Financial-services decisioning

Next Best Offer for Banking

A predictive decision-support system combining customer segmentation, subscription propensity, expected-value modelling, campaign selection and LLM-assisted communications.

Decision boundary

Statistical scoring connected to the workflow through which business teams review, prioritize and act.

A04 / Unstructured-data intelligence

Insights Generator

An AI system for turning large volumes of reviews, conversations and other unstructured text into grounded themes, summaries, statistical views and business-facing recommendations.

Evaluation boundary

Batched processing, semantic clustering and source references designed to keep synthesis traceable to the underlying material.

03 / Apply the evidence

If your AI initiative has a difficult production boundary, we can help define it, test it and engineer through it.

Discuss an AI or data initiative.