AI assistant — Dhyey

An AI assistant built into
every part of your delivery workflow.

Dhyey, the Effigate AI assistant, generates tasks, plans sprints, detects blockers, analyses capacity, and answers questions about your live project data — governed, tenant-scoped, and opt-in.

Platform capabilities

Every AI capability built natively into your delivery workflow

Dhyey is not a bolt-on chatbot. It is embedded directly into project management, sprint planning, helpdesk, and reporting — operating against live tenant data with full governance controls.

Task generation

Dhyey creates tasks and subtasks from user story descriptions, with estimation suggestions and acceptance criteria generated automatically.

Sprint planning AI

AI analyses your backlog and team capacity to recommend sprint composition, velocity-aware estimates, and poker planning support.

Blocker detection

Dhyey surfaces tasks at risk of missing deadlines, dependency conflicts, and capacity overloads before they become delivery problems.

Capacity analysis

AI reviews team member workload across sprints and projects, identifies over-allocation, and suggests rebalancing options.

Sprint summaries

Dhyey generates natural-language sprint summaries for stakeholder review, capturing outcomes, blockers, and velocity trends.

Multi-provider support

Connect Dhyey to OpenAI, Anthropic, Google Gemini, or Ollama for self-hosted deployments — configured per tenant with full credential isolation.

Task generation

From user story to actionable tasks in seconds

Dhyey reads a user story title and description and generates a structured set of tasks and subtasks that a developer can act on immediately. Estimation suggestions, acceptance criteria, and dependency hints are included so teams spend less time on decomposition and more time on delivery.

  • Tasks and subtasks generated from user story descriptions with one action
  • Acceptance criteria drafted automatically and editable before saving
  • Estimation suggestions based on story complexity and historical team velocity
  • Dependency hints surface related stories or tasks that may need to complete first
  • All generated content is a proposal — a human confirms before any record is written
Dhyey AI Assistant Generating…

User Story

"As a user I can log in via SSO and have my permissions applied automatically"

Generating tasks…
Configure PKCE OAuth provider 3pt
Add token refresh middleware 2pt
Map SSO claims to user roles 2pt
Write integration test suite 3pt
Add audit log for SSO events 1pt

AI-generated — review before adding to sprint

Sprint planning AI

AI-assisted sprint composition that respects team capacity

Dhyey analyses the backlog, team capacity, and historical velocity to recommend which stories and tasks should enter the next sprint. Planning poker sessions get AI-generated reference points that teams can discuss rather than starting estimates from scratch, keeping planning sessions shorter and more grounded in data.

  • Backlog analysis surfaces the highest-priority and highest-risk items for sprint entry
  • Capacity-aware recommendations prevent over-committed sprints from the outset
  • Velocity-aware estimates use historical sprint data to calibrate story point suggestions
  • Poker planning support provides AI reference estimates alongside team voting
  • Sprint composition proposals are fully editable before the sprint is confirmed
Sprint Board Sprint 12 · Active
To Do
In Progress
Done

Auth flow

API rate limits

Dashboard widget

Sprint board UI

Epic details page

Login page

DB schema

CI pipeline

12 of 18 story points completed
Blocker and risk detection

Surface delivery risks before they become missed deadlines

Dhyey continuously monitors open work for tasks approaching their deadline, dependency chains that could block progress, and team members who are over-allocated. Risk signals are presented with context — not just a warning, but a summary of why a task is at risk and what options exist to address it.

  • Tasks approaching their deadline flagged with remaining time and completion likelihood
  • Dependency conflicts identified where a blocking task is behind schedule
  • Capacity overloads detected at the individual and sprint level before they cause delays
  • Blocker summaries include context — reason, impact, and suggested resolution paths
  • Risk signals surface in sprint board, workload view, and the Dhyey assistant panel

SLA Enforcement Engine

P-001: Payment API failure BREACHED
Critical Priority · 4h response, 8h resolution
P-002: Report export timeout WARNING
High Priority · 8h response, 16h resolution
P-003: UI display glitch ON TRACK
Medium Priority · 24h response, 48h resolution
Capacity and workload analysis

AI-powered workload balancing across sprints and projects

Dhyey reviews each team member's assigned tasks, logged hours, and sprint commitments to identify over-allocation before performance degrades. When imbalances are found, Dhyey suggests rebalancing options — specific tasks that could move to a less-loaded team member — so managers can act with precision rather than guesswork.

  • Individual workload reviewed across all active sprints and projects simultaneously
  • Over-allocation detected against declared availability, not just task count
  • Rebalancing suggestions identify specific tasks that are good candidates for reassignment
  • Capacity forecasts project forward to flag upcoming overloads before the sprint begins
  • Workload analysis integrates with the timesheet and leave calendar for accuracy
Team Workload Sprint 12 · Week 2
A
Alice Chen Lead Dev
38h / 40h
B
Bob Smith Backend
45h / 40h Over
C
Carol Davis Frontend
28h / 40h
D
David Kim QA
18h / 40h
Governance and data privacy

AI that enterprise procurement and security teams can approve

Every AI interaction in Effigate is tenant-scoped, opt-in, and configurable. No tenant data is sent to any AI provider until the tenant has explicitly activated the integration. Credentials are stored per-tenant, data categories sent to AI are configurable, and Dhyey never writes data autonomously — every action requires human confirmation.

  • AI features are strictly opt-in per tenant — disabled by default at account creation
  • No cross-tenant data access — each AI session operates entirely within the tenant boundary
  • AI provider credentials stored per-tenant and never shared across tenants
  • Data categories included in AI prompts are configurable in Settings → AI & MCP
  • Propose-and-confirm model — Dhyey never creates, updates, or deletes records without explicit user approval

Audit Log Stream

2026-03-11 09:14:32 api.token.created
admin@acme.com · Token "CI Deploy" created — scope: read
2026-03-11 09:02:11 invoice.issued
owner@acme.com · INV-2026-0041 issued to Globex Ltd
2026-03-11 08:55:07 sla.breach.detected
system · Ticket #TK-0182 SLA breached — Critical
2026-03-11 08:40:23 timelog.locked
system · 14 time logs locked (lock window: 3 days)
2026-03-11 08:31:05 user.role.changed
owner@acme.com · alice@team.com promoted Owner→Admin
How it works

From AI configuration to governed delivery assistance in four steps

Dhyey activates within the boundaries you set and assists across planning, delivery monitoring, and reporting — always with a human in the loop.

  1. 1

    Configure AI provider

    A tenant administrator connects an AI provider (OpenAI, Anthropic, Gemini, or Ollama) in Settings → AI & MCP, sets data sharing preferences, and enables Dhyey for the workspace.

    • Provider selected
    • Credentials stored per-tenant
    • Data categories configured
  2. 2

    AI assists with planning

    Dhyey generates task breakdowns from user stories, suggests sprint compositions, and provides poker planning reference estimates. All proposals are reviewed and confirmed by the team before saving.

    • Tasks generated from stories
    • Sprint composition suggested
    • Estimates proposed for review
  3. 3

    AI monitors delivery

    Throughout the sprint, Dhyey monitors open tasks for deadline risk, dependency conflicts, and capacity overloads. Alerts surface in the sprint board and workload view with actionable context.

    • Deadline risks flagged
    • Blockers identified
    • Capacity overloads detected
  4. 4

    AI summarises outcomes

    At sprint close, Dhyey generates a natural-language sprint summary capturing completed work, unresolved blockers, velocity trends, and recommendations for the next cycle — ready for stakeholder review.

    • Sprint summary generated
    • Velocity trends captured
    • Recommendations proposed
Role-based value

Dhyey delivers differently for every role in the delivery team

AI assistance in Effigate is contextual — the right Dhyey capability surfaces for the right person at the right stage of delivery.

Project Managers

Sprint planning suggestions, capacity forecasts, and sprint summaries reduce administrative overhead and improve planning accuracy.

Developers

Task and subtask generation from user stories removes decomposition overhead and ensures every task has clear acceptance criteria before work begins.

Executives

AI-generated sprint summaries and delivery risk reports provide a concise view of project health without requiring manual status gathering.

Team Leads

Blocker detection and workload rebalancing suggestions surface delivery risks early and provide actionable options to resolve them before SLAs or deadlines are missed.

AI provider ecosystem

Connect Dhyey to the AI provider that fits your stack and compliance requirements

Effigate supports leading AI providers and self-hosted models so every team — from cloud-first startups to air-gapped enterprise environments — can run Dhyey on their terms.

OpenAI

Connect Dhyey to GPT-4 and o1 models for task generation and planning assistance.

AI provider

Anthropic

Use Claude models for reasoning-intensive sprint planning and report summaries.

AI provider

Google Gemini

Connect Gemini models for multimodal analysis and delivery insights.

AI provider

Ollama (self-hosted)

Run local models for air-gapped or privacy-sensitive enterprise environments.

Self-hosted

Slack

Receive Dhyey-generated sprint summaries and risk alerts in Slack.

Notifications
Frequently asked questions

Questions about Dhyey and AI governance in Effigate

No. AI features in Effigate are strictly opt-in per tenant. A tenant administrator must explicitly configure an AI provider and enable Dhyey before any AI calls are made. No tenant data is sent to any external AI API until the tenant has chosen to activate the integration and accepted the relevant data handling terms.

AI provider API keys and connection settings are stored per-tenant in the tenant-scoped database. Credentials are never stored in the landlord database and are never shared across tenants. Each tenant configures their own provider, model selection, and any applicable usage limits independently.

Effigate gives tenants control over what data is included in AI requests. By default, only the minimal context required for the requested operation — such as a user story title and description for task generation — is included. Tenants can review and restrict the data categories sent to AI providers in Settings → AI & MCP. No billing data, rate cards, or client credentials are ever included in AI prompts.

No. Dhyey operates on a propose-and-confirm model. All AI-generated content — tasks, subtasks, sprint compositions, risk reports — is presented as a suggestion that a human must explicitly accept or dismiss before any data is written. Dhyey never creates, updates, or deletes records autonomously.

Effigate supports OpenAI (GPT-4 and o1 series), Anthropic (Claude), Google Gemini, and Ollama for self-hosted local models. Ollama support is specifically designed for air-gapped or privacy-sensitive enterprise environments where data must not leave the on-premises network. Additional provider integrations are added on the roadmap as adoption grows.

Get started

Let Dhyey handle the planning overhead — your team focuses on delivery.

14-day free trial. No credit card required. Full platform access from day one.