Turning the enterprise data lake into a trusted decision engine.
An AI-enabled Business Management Platform that turns the enterprise data lake into a trusted decision foundation — applying AI agents to interpret signals across finance, sales and delivery, and surfacing recommendations through Microsoft Teams and Copilot-style conversational workflows for executive decision making and operational follow-up.
Management Needs → Platform Response
Six Value Levers
Revenue Acceleration
+ Pipeline velocity
Faster next-best-actions on deals and white-space expansion opportunities.
Margin Protection
Leakage recovered
Early detection of margin variance and corrective action on projects.
Cash Improvement
DSO reduction
Prioritised collections and dispute resolution on overdue AR.
Supplier Risk Reduction
Exposure managed
Balance-of-trade insight and delivery-risk mitigation across suppliers.
Executive Productivity
Time to insight
Conversational briefings replace manual report assembly.
Customer Retention
Churn avoided
Health monitoring flags at-risk accounts for proactive intervention.
A two-layer platform on a governed data foundation
The NTTH.ai Playground provides the AI brain; Microsoft Copilot Studio orchestrates the Teams experience. Both sit on top of the enterprise data lake and a cross-cutting governance layer.
Layer 1 — AI Brain
NTTH.ai Playground
Layer 2 — Orchestration & UX
Microsoft Copilot Studio
Enterprise Data Lake
Governance & Monitoring
Architecture Flow
User in Microsoft Teams
Executive asks a question in natural language.
Copilot Studio intent
Identifies intent and required data / agent.
Data retrieval
Pulls governed data from the enterprise data lake.
NTTH.ai reasoning
RAG + document intelligence interprets and diagnoses.
Action & accountability
Recommendation with owner, KPI and deadline.
Workflow follow-up
Approval and tracking routed to closure in Teams.
Target Operating Model
A continuous loop — signals are sensed, diagnosed and simulated, then converted into owned, tracked actions that are driven to closure.
How each executive gets answers and accountability
Every business case pairs a real management question with an AI agent response and a recommended-action table — each action carries a tracking level, an owner (PIC) and a KPI or deadline.
Business Performance Command Centre
“How is the whole company performing this quarter, and where is the risk?”
Recommended Actions
| Action | Tracking level | PIC | KPI / Deadline |
|---|---|---|---|
| Review top 3 margin-drag accounts | Company → BU | CFO | Margin plan variance closed / QTR |
| Escalate delivery-risk projects | BU → Project | Head of Delivery | At-risk revenue mitigated |
| Confirm quarterly forecast commit | Company | CEO / ExCo | Forecast accuracy ±3% |
Customer Health & Strategic Account View
“Which strategic accounts are at risk, and where can we expand?”
Recommended Actions
| Action | Tracking level | PIC | KPI / Deadline |
|---|---|---|---|
| Assign save-plan to red accounts | Customer | Account Director | Retention on flagged logos |
| Pursue top expansion plays | Customer → Opportunity | CRO | Expansion pipeline created |
| Executive sponsor check-in | Customer | CEO | Sponsor coverage on top 10 |
Quarterly Simulation & Executive Briefing
“What do best, base and downside scenarios look like next quarter?”
Recommended Actions
| Action | Tracking level | PIC | KPI / Deadline |
|---|---|---|---|
| Select scenario to plan against | Company | CEO / CFO | Scenario adopted for plan |
| Pre-empt downside triggers | Company → BU | ExCo | Mitigations pre-agreed |
| Circulate briefing to board | Company | CEO Office | Briefing delivered on time |
Fourteen AI agents, phased for value
Each agent is colour-coded by delivery phase and carries its primary users, business value and the traceability path that keeps every insight accountable.
Agents by Phase
Distribution across the delivery roadmap
4
Phase 1
5
Phase 2
4
Phase 3
1
Phase 4
Business Performance Command Centre
Single trusted view of whole-company performance and risk.
Customer Health Monitor
Early warning on at-risk accounts and expansion signals.
Pipeline Intelligence Agent
Pipeline shaped by probability, margin and readiness.
Project Cost Tracker
Real-time cost vs. budget with overrun alerts.
AR Intelligence Agent
Prioritised collections and dispute resolution.
Billing Milestone Agent
Timely, complete milestone billing to protect cash.
Supplier Dashboard Agent
Balance-of-trade and supplier delivery risk.
AP Prioritisation Agent
Payment prioritisation and negotiation opportunities.
Quarterly Simulation Agent
Best / base / downside scenario simulation.
Proposal Accelerator
Faster, higher-quality proposal drafting.
Contract Risk Agent
Flags risky clauses and tracks obligations.
Competitive Intelligence Agent
Customer 360 with renewal and competitor alerts.
Resource Allocation Agent
Optimised resourcing against demand and skills.
Executive Briefing Generator
Auto-generated executive and board briefings.
Seven trusted data domains
The platform draws on the enterprise data lake across seven domains. Each domain lists its key data elements, the business cases it powers, and the data-quality requirements that keep it trustworthy.
Sales / CRM
Key data elements
Accounts, opportunities, stages, close dates, notes, renewals
Primary use cases
Pipeline intelligence, customer health, competitive 360
Quality requirement
Deduplicated accounts, current stage & close-date hygiene
Finance – AR
Key data elements
Invoices, ageing, receipts, disputes, credit terms
Primary use cases
AR intelligence, cash-flow forecast, DSO reduction
Quality requirement
Accurate ageing buckets & dispute status
Finance – AP
Key data elements
Payables, payment terms, supplier balances, approvals
Primary use cases
AP prioritisation, working-capital optimisation
Quality requirement
Complete terms & approval status
Project Delivery
Key data elements
Projects, budgets, actuals, milestones, resources, status
Primary use cases
Cost tracking, margin leakage, delivery risk, billing
Quality requirement
Timely actuals & milestone status updates
Supplier / Procurement
Key data elements
Suppliers, purchase orders, spend, delivery, contracts
Primary use cases
Balance-of-trade, supplier PO, delivery risk
Quality requirement
Matched PO – receipt – invoice records
Customer Experience
Key data elements
Service tickets, sentiment, SLAs, usage signals
Primary use cases
Customer health scoring, churn early-warning
Quality requirement
Linked to account & ticket resolution status
Contracts / Documents
Key data elements
Contracts, clauses, obligations, RFPs, proposals
Primary use cases
Contract risk, RFP analysis, proposal accelerator
Quality requirement
Versioned, searchable, correctly classified
From executive question to named owner
Every top-level question can be traced down a governed hierarchy — Company to Business Unit to Customer and beyond — until it resolves to a specific person accountable for the action.
Drill-down path
Trusted, compliant and auditable by design
Seven cross-cutting control areas ensure the platform is secure, governed and fully accountable — so executives can trust every recommendation it produces.
Role-Based Access Control
SSO with RBAC ensures each user sees only the data and agents appropriate to their role.
Data Residency
Data and inference remain within approved regions and boundaries to meet residency requirements.
Human-in-the-Loop
Material recommendations require human review and approval before any action is taken.
Prompt Audit
Every prompt, retrieval and response is logged for full traceability and compliance review.
No Unauthorised Training
Enterprise data is never used to train models without explicit authorisation.
Exception Management
Anomalies and out-of-policy events are flagged and routed through a managed exception workflow.
Data Quality Governance
Continuous data-quality checks maintain the trust of the underlying data lake foundation.
Four phases, built to compound value
Delivery is sequenced so early foundation agents unlock the trusted data view, then financial, sales and delivery intelligence layer on — scaling to self-service briefings.
Phase Timeline
Approximate month ranges per phase
Foundation & Executive Visibility
Stand up the trusted data foundation and give executives a single performance view.
Financial & Supplier Intelligence
Add cash, billing, supplier and scenario intelligence for the finance office.
Advanced Sales & Delivery Automation
Automate proposals, contract risk, competitive intel and resourcing.
Scale & Optimisation
Scale adoption and automate executive & board briefings across all domains.
Six Implementation Steps
Use-Case Workshop
Align on priority business cases and executive questions.
Data Readiness Assessment
Assess data-lake coverage, quality and access for each domain.
PoC Build
Build a proof-of-concept for the highest-value Phase 1 agents.
Governance Setup
Configure SSO, RBAC, human-in-the-loop and prompt audit.
Phase 1 Rollout
Deploy foundation agents to executives and operational teams.
Measure & Scale
Track value levers and scale through subsequent phases.
Six value levers, measured and owned
Value is not assumed — each lever has a clear measurement approach and an example KPI, so the platform's return can be tracked from day one and scaled with confidence.
Revenue Acceleration
Faster next-best-actions on deals and white-space expansion opportunities.
Measurement approach
Win-rate uplift & cycle-time reduction vs. baseline
Margin Protection
Early detection of margin variance and corrective action on projects.
Measurement approach
Margin variance closed vs. plan
Cash Improvement
Prioritised collections and dispute resolution on overdue AR.
Measurement approach
Days Sales Outstanding trend
Supplier Risk Reduction
Balance-of-trade insight and delivery-risk mitigation across suppliers.
Measurement approach
Revenue-at-risk from supplier delay
Executive Productivity
Conversational briefings replace manual report assembly.
Measurement approach
Hours saved on reporting cycles
Customer Retention
Health monitoring flags at-risk accounts for proactive intervention.
Measurement approach
Retention rate on flagged accounts
Platform reference and deep-dive articles
Search and explore detailed articles on every aspect of the AI Business Management Platform — from architecture concepts through agent operations to governance and implementation guidance.