Meet ARIA
The interface between an AI agent harness, the application and its inner workings, and you.
ARIA isn't just a chat interface. It's a structured AI orchestration layer that lets your organisation navigate 89-module discovery data, governance workflows, and M&A stakeholder communication — all through a single, intelligent conversational surface.
Agent Harness
Connects to LLM providers via structured tool definitions and function calling. ARIA wraps model capabilities in domain-specific context — M&A IT discovery, compliance scoring, migration risk assessment.
Application Interface
Sits between the agent and ACQI's 89-module discovery engine. Every query ARIA receives is grounded in real scan data, configuration state, and governance records — not hallucinated answers.
Human Layer
Structured conversations, task boards, audit logs, and role-based boundaries keep every interaction accountable. Stakeholders get answers; IT teams retain control.
Aria Assist — Conversational Core
📊 Dashboard
At-a-glance view of ARIA's current state — active conversations, pending tasks, risk alerts, and model performance metrics. The command center for every AI-assisted workflow.
💬 Chat
Multi-turn conversational interface for natural language queries against ACQI data. Ask "what's the compliance posture of the target tenant?" and get grounded, sourced answers.
🗂️ Conversations
Threaded conversation history with full context preservation. Re-engage any prior session, export conversation logs for audit trails, and bookmark key decision threads.
📋 Task Board
AI-generated and human-created tasks surfaced in Kanban-style boards. ARIA can create follow-up items from conversation insights, assign owners, and track completion against M&A milestones.
👥 Contacts
Directory of M&A stakeholders linked to ARIA conversations. Track who asked what, who needs follow-up, and who approved which recommendation — all tied to discovery findings.
📢 Channels
Topic-based channels for parallel conversations — e.g., #azure-discovery, #compliance-review, #day1-readiness. Each channel maintains its own context window and task linkage.
📅 Schedule
Integrated calendar for AI-assisted scheduling of discovery sessions, stakeholder briefings, and M&A milestone checkpoints. ARIA can propose times based on team availability.
🏃 Standups
Daily standup summaries auto-generated from task board activity, recent conversations, and discovery scan progress. Keeps distributed M&A teams synchronized without manual reporting.
Configuration & Governance
🛠️ Skill Registry
Catalog of domain-specific skills ARIA can invoke — cloud discovery, AD analysis, compliance scoring, migration sequencing. Administrators can enable, disable, and configure skill boundaries per acquisition context.
📝 Audit Log
Immutable record of every ARIA interaction — queries, tool invocations, data accesses, and responses. Required for M&A governance compliance and regulator access during IT due diligence.
🎛️ Configuration
System-wide ARIA settings — model selection, temperature, tool permissions, context window limits, rate limiting, and provider credentials. Fine-tuned per deployment environment.
🚀 Onboarding
Guided setup for new M&A projects — configure target environment connections, set initial skill registry, define stakeholder roles, and establish baseline discovery expectations.
🚧 Boundaries
Role-based access controls that limit what ARIA can do — read-only vs. read-write mode, data masking rules, export restrictions, and denial-of-service safeguards. Prevents AI from overstepping M&A process boundaries.
M&A Execution Workspace
🎤 Interviews
Structured intake interviews with target IT staff — questionnaire templates, response aggregation, and ARIA-assisted analysis that surfaces infrastructure gaps before Day 1.
📈 Demo Tracker
Track and score system demonstrations during due diligence — what was shown, what was hidden, what matched the discovery scan, and red flags ARIA flagged in real-time.
⚠️ Risk Register
Active risk items surfaced from discovery data — unpatched systems, missing dependencies, single points of failure, compliance gaps. ARIA scores and prioritizes based on M&A impact.
📦 Risk Registry
Historical repository of all identified risks with resolution tracking. Cross-references risks across multiple acquisitions to build institutional knowledge of recurring IT issues.
👨💻 Expert Profiles
Subject matter expert directory pulled from interview data, LinkedIn signals, and system access logs. Identify who knows what in the target environment for Day 1 handoff planning.
🏗️ Architecture ADRs
Architecture Decision Records — documented rationale for key IT choices in the target environment. ARIA helps draft and cross-reference ADRs against discovery findings to assess technical debt.
Pilot & Wave Execution
🌐 Pilot Wave
First wave sequencing for a migration or consolidation project. ARIA helps define pilot scope — which workloads, which users, which services — based on discovery data and risk appetite.
⚡ Pilot Execution
Real-time tracking of pilot progress — task completion, error rates, user feedback, and rollback triggers. ARIA monitors and alerts on pilot health metrics throughout the execution window.
Knowledge & Decision Layer
📄 Documentation Templates
Pre-built templates for M&A IT documentation — IT due diligence reports, Day 1 runbooks, integration checklists, and synergy tracking forms. ARIA can auto-populate from discovery data.
🎯 Strategic Decisions
High-level M&A technology decisions — go/no-go on acquisition, target selection criteria, platform consolidation strategy, and long-term IT operating model. ARIA provides data-backed recommendations.
🔫 Tactical Decisions
Day-to-day execution decisions during integration — sequencing of user migrations, priority of service cutover, rollback procedures, and communication cadence. ARIA surfaces trade-offs in real-time.
📓 Operational Runbooks
Step-by-step operational procedures generated from discovery data and historical M&A patterns. ARIA can recommend runbooks based on detected environment type, risk profile, and migration wave.
Why ARIA exists
M&A IT due diligence generates enormous volumes of structured and unstructured data. Discovery scans alone surface thousands of assets, configurations, and risks. The problem isn't a lack of data — it's a lack of a layer between the data and the decision-makers who need it.
discovery modules, each producing structured output ARIA can query
conversational interface for every stakeholder, from CISO to IT tech
hallucinated answers — every ARIA response is grounded in scan data