Five products.
One platform.
ACQI is not a migration tool with a discovery tab. It is a comprehensive M&A intelligence platform built from the ground up for the complexity of real enterprise integrations. Discovery. Migration. Governance. Automation. AI.
Built for M&A Discovery.
124 Discovery Modules
Purpose-built scanners across Azure, AWS, Active Directory, M365, VMware, network infrastructure, and security. Every module extracts, normalizes, and correlates data from a specific IT dimension — giving you complete visibility into both the target and acquiring organization. The modules work in parallel, completing a full discovery sweep in hours rather than the weeks manual assessments require. Each module is maintained by our engineering team and updated whenever cloud providers change their APIs or add new services. The result is a living, current map of your entire IT estate that reflects reality, not outdated assumptions.
Multi-Cloud Parallel Scanning
Azure, AWS, and hybrid infrastructure scanned simultaneously. Subscriptions, VMs, networking, storage, databases, serverless — nothing overlooked. Our distributed scanning engine runs across all cloud providers at the same time, aggregating findings into a unified asset inventory. This parallel approach eliminates the blind spots that sequential scanning creates, especially in complex multi-cloud environments. Security groups, IAM policies, encryption settings, and network peering relationships are all captured and correlated. You see the full picture of both companies infrastructure before a single migration decision is made.
Identity & Access Intelligence
Active Directory, Entra ID, conditional access policies, PIM, managed identities. Map every identity, every permission, every risk across both companies. In any M&A transaction, identity integration is the highest-risk technical work — get it wrong and you create security holes or lock out users on Day One. Our identity scanner inventories every user account, group membership, service principal, and role assignment across both forests. Conditional access policies, password policies, and privileged identity management settings are all documented and flagged for conflicts. You enter integration knowing exactly what needs to change and what can stay.
M365 Deep Dive
Exchange, SharePoint, Teams, OneDrive, Groups, Power Platform. License utilization, collaboration patterns, data distribution, external sharing — full visibility. Most M&A teams underestimate the complexity of Microsoft 365 integration — shared domains, duplicate mailboxes, Teams federation, and SharePoint permission structures can create serious compliance and productivity issues post-close. Our M365 scanner covers all workloads comprehensively: mailbox sizes and retention policies, Teams channel structures and guest access, SharePoint site collections and external sharing settings, OneDrive storage quotas, and Power Platform environments. You will know exactly what licenses can be retired and what must be migrated.
Real-Time Dashboards
Live progress monitoring as modules execute. Category-level breakdowns, asset counters, completion tracking with AG Grid data tables. You no longer have to wait for a discovery phase to conclude to understand what was found — the dashboard updates continuously as each scanner completes its sweep. Asset counts populate in real time, with drill-downs into categories like compute instances, storage volumes, user accounts, and SaaS applications. Phase completion indicators show exactly where you are in the discovery lifecycle. The AG Grid-powered tables underneath let you sort, filter, and export any finding for downstream analysis in Excel or your preferred BI tool.
89-Module Discovery Framework
Structured discovery across 8 categories: AD, M365, Azure, Security, SaaS, Network, Data/Apps, Integration-Specific. Systematic, no blind spots. Rather than running arbitrary scans, our framework is organized into eight deliberate categories that map directly to the technical work of integration. Each category contains multiple modules that address different aspects of that IT domain. This structure ensures nothing falls through the cracks and that findings are organized logically for the teams who need to act on them. Integration-specific modules handle unique scenarios like legacy system dependencies, regulatory data requirements, and cross-border data residency constraints.
Built for M&A Migration.
Wave-Based Planning
Organize migrations into dependency-tracked waves. Visualize critical paths, identify blockers, manage parallel workstreams across both companies. Large-scale migrations fail not because of technical problems but because of poor sequencing — moving a workload before the infrastructure it depends on is ready creates cascading failures. Our wave planning module lets you group workloads into logical migration waves, with explicit dependency tracking between waves. Each wave can have its own timeline, team assignment, and go/no-go criteria. You see the critical path at a glance and can simulate different sequencing options to find the fastest path to completion without violating dependencies.
Go/No-Go Gate Enforcement
Quality gates at every migration phase. Pre-flight checks, validation criteria, rollback procedures — all enforced and tracked. Before any workload is migrated, our system verifies that all prerequisites are met: connectivity established, credentials validated, DNS propagated, and target environment configured correctly. If any check fails, migration is paused and the responsible team is notified with specific remediation steps. This gate-keeping prevents the frantic firefighting that happens when migrations fail in the middle of a maintenance window. Each gate decision is logged with the person who approved it and the data that was verified, creating a complete chain of custody for auditors.
Workload-Specific Views
Users, mailboxes, SharePoint, Teams, devices, servers, applications — each workload type has purpose-built migration views and workflows. A mailbox migration has completely different requirements than a server migration or a Teams channel migration. Rather than forcing everything into one generic interface, our migration workspace provides specialized views for each workload category. Each view surfaces the relevant metadata, migration status, and action items for that specific type of work. Migration leads can filter to exactly what they need to see without wading through irrelevant data from other workload types.
Resource Scheduling
Engineer booking, team allocation, capacity planning. Track who is doing what, when, and ensure no migration runs without proper resourcing. Migrations stall when the right people are not available at the right time — an engineer needed for a critical cutover is already committed to another wave, or a required validation step falls to someone who has moved on to another project. Our resource scheduling module maintains a real-time view of team capacity, booked time, and skill availability across the migration program. You can see conflicts before they happen and rebalance work before a blocker materializes. Historical utilization data helps you plan more accurately for future migration waves.
Blast Radius Analysis
Map what breaks when you change an infrastructure component. Score integration touchpoints by business impact, complexity, and rollback difficulty. Every integration has touchpoints — shared systems, federated identities, cross-company VPN tunnels, application dependencies on infrastructure that is changing. These touchpoints are where migrations go wrong: something you did not know depended on a component you changed causes an outage in an unrelated system. Our blast radius analysis models these dependencies automatically based on discovery data, scoring each touchpoint by business impact, technical complexity, and how difficult it would be to roll back if something went wrong. You prioritize your risk mitigation efforts where they will have the most effect.
Migration Window Playbook
Pre-migration checklists, cutover runbooks, post-migration verification. Structured playbook for every migration wave. The actual cutover window is not the time to be writing runbooks or discovering that a prerequisite step was missed. Our migration playbook module generates structured, step-by-step runbooks for every wave based on the discovery findings and migration plan. Pre-migration checklists are generated automatically from known prerequisites. Cutover runbooks include exact commands, expected outputs, and decision points. Post-migration verification steps confirm that the migrated workload is healthy and accessible. When something goes wrong during cutover, the playbook tells the team exactly what to do rather than creating chaos.
Built for M&A Governance.
Transaction Dashboard
Multi-transaction management supporting M&A, divestitures, acqui-hires, and joint ventures. Phase tracking, milestone management, stakeholder visibility. Most organizations run multiple M&A transactions simultaneously, each at a different stage and each with its own team, timeline, and risk profile. Our transaction dashboard provides a portfolio-level view across all active transactions, with drill-downs into individual deals. Milestone tracking shows whether each transaction is on track against its deal thesis and integration timeline. Stakeholder visibility features ensure the right people — from deal teams to IT leads to executive sponsors — see the information relevant to their role. You manage the entire portfolio from one interface without switching between disconnected tools.
Compliance Walls
Information barrier enforcement. Clean team management with role-based access. Prevent data leakage between deal teams and operating businesses. Regulatory requirements, competitive sensitivity, and legal constraints often make it necessary to restrict information flow between the acquiring company and the target — or between deal teams and operating business units. ACQI compliance walls create technically enforced information barriers that prevent unauthorized data access without slowing down the teams who need legitimate access. Role-based access controls ensure each user sees only what their role permits. Clean team designations are managed explicitly, with automatic provisioning and deprovisioning as team membership changes. Audit logs track every access request and approval.
Synergy Realization Tracking
Track synergy targets from deal thesis to realization. Cost synergies, revenue synergies, operational efficiencies — all measured against original projections. The deal thesis includes specific synergy targets — cost savings from infrastructure consolidation, revenue synergies from cross-selling, efficiency gains from shared services. Too many integrations see these targets quietly abandoned after close because there is no systematic tracking of whether they are being realized. Our synergy tracking module connects original deal thesis projections to specific IT integration actions and measures progress continuously. When a synergy target is at risk of not being met, responsible parties are flagged so corrective action can be taken before the opportunity is lost.
Immutable Audit Trails
Every action logged, every decision traceable. Phase gate approvals, regulatory submissions, stakeholder sign-offs — all with immutable records. M&A transactions are subject to intense scrutiny from regulators, auditors, boards, and sometimes litigants. Every significant decision in an integration — a go/no-go gate approval, a budget commitment, a scope change, a regulatory filing — needs to be documented with who made it, when, and what information was available at the time. ACQI maintains an immutable, tamper-evident audit log of all significant actions and decisions throughout the transaction lifecycle. This audit trail satisfies compliance requirements and protects the organization if decisions are ever challenged after the fact.
47-Item Integration Checklist
Comprehensive pre-Day-1 checklist covering identity, data and apps, network, and security. 47 items that prevent Day-One failures. Day One failures — users who cannot log in, applications that will not start, data that is inaccessible — are almost always preventable with proper preparation. Our pre-Day-1 checklist was built from post-mortems on hundreds of integrations and contains 47 specific items across four domains: identity and access, data and applications, network connectivity, and security controls. Each item has a clear pass/fail criteria and an owner who is accountable for its completion. The checklist is not a generic template — it is generated dynamically based on the specific findings from discovery, so it reflects the actual risks in your specific integration.
IT Risk Score Tracking
Portfolio-level IT risk scores across all transactions. Track deterioration before it becomes a crisis. Different integrations carry different levels of IT risk, and that risk changes over time as the integration progresses — or stalls. Our IT risk scoring model evaluates each active transaction against multiple risk dimensions: technical complexity, timeline pressure, team capacity, discovered risk factors, and integration-specific vulnerabilities. Scores are calculated continuously and visualized in a portfolio-level dashboard so you can compare risk across all active transactions at a glance. When a transaction risk score begins to deteriorate, the system alerts the responsible program manager so they can intervene before the risk becomes a crisis.
Built for M&A Shift (Automation).
Shift Builder
Auto-designs AVD host pools, VM configurations, and infrastructure templates based on actual discovery data. What was found drives what gets built. Traditional infrastructure provisioning starts from a blank page or an outdated template — the engineer guesses at the right size, the right configuration, and the right security settings based on incomplete information. Shift Builder starts from the actual discovery data: the VM sizes that were found, the storage types in use, the network configurations in place, the application dependencies documented. It generates provisioning templates — ARM templates for Azure, CloudFormation for AWS — that reflect the reality of what exists today. This means new environments match the existing ones, reducing compatibility issues and eliminating the guesswork that leads to over-provisioning and unnecessary cost.
Shift Guard
Applies security baselines and compliance policies to provisioned environments. CIS benchmarks, organizational policies, regulatory requirements — enforced automatically. A newly provisioned environment is only as secure as the person who configured it, and in a fast-moving migration, security settings are often the first thing that gets simplified to save time. Shift Guard automates security baseline application so that every environment Shift provisions meets your organization security standards from the moment it comes online. CIS benchmarks, NIST frameworks, custom organizational policies, and regulatory requirements like HIPAA or SOC 2 controls are all encoded as automated checks. Any deviation from policy is flagged before the environment goes live, not after a breach or audit finding.
Shift Tune
Post-deployment optimization. Right-sizing, cost optimization, performance tuning based on actual usage patterns discovered during scanning. Discovery data shows what you have, but Shift Tune shows you how it is being used — and where you are paying for more than you need. Our post-deployment analysis module examines actual resource utilization across your migrated infrastructure and compares it against what you are paying for. Right-sizing recommendations are generated automatically: the VM that is using 12% of its allocated CPU can be moved to a smaller instance, saving money every month without any performance impact. Unused storage volumes, over-provisioned load balancers, and idle Peering connections are all identified and flagged for cleanup. Cost optimization is continuous, not a one-time event at migration close.
Data-Driven Design
Every provisioning decision is backed by real discovery data. No guesswork, no over-provisioning, no security gaps from manual configuration. The traditional approach to infrastructure design relies heavily on the experience and judgment of individual engineers — which means results vary widely based on who is doing the work. When an engineer is conservative, environments get over-provisioned and you pay for capacity you never use. When an engineer is optimistic, security settings get relaxed to avoid complications. Data-Driven Design removes the variability: every decision is traceable back to a specific data point from discovery. Over-provisioning is reduced because the right size is calculated from actual utilization data. Security gaps are closed because every setting is applied programmatically rather than manually.
Automated Provisioning
From discovery results to live environment. Shift reads your scan data and builds environments that match what was found — automatically. The final step in the Shift workflow is actual provisioning: taking the templates generated by Shift Builder and executing them against your cloud environment to create live infrastructure. This is fully automated — once you initiate a provisioning run, Shift handles the API calls, validates the results, and reports back when the environment is ready. There is no manual clicking through cloud consoles, no copy-paste errors in ARM templates, no forgotten steps. The environment that gets built is exactly what the discovery data specified it should be, and the provisioning log shows every step that was taken.
Built for M&A ARIA AI.
Contextual AI Chat
Ask questions about your project, your discovery results, your migration progress. ARIA has full project context and provides specific, actionable answers. Generative AI tools fail in enterprise contexts because they have no access to your specific data — they can answer general questions but cannot tell you anything about your particular integration. ARIA is different: it has been trained on your actual project data, including discovery scan results, migration wave status, risk registers, and governance records. You can ask specific questions — "What is the biggest risk in Wave 3?" or "Which AD permissions have not been migrated yet?" — and get answers grounded in your actual project data, not generic platitudes. Responses include citations to the specific records that support the answer so you can verify and drill down.
AI-Assisted Task Management
Intelligent task prioritization based on dependencies, blockers, and team capacity. Surface what matters, deprioritize what can wait. Task lists in complex migrations grow unwieldy quickly — hundreds of items across dozens of workstreams, many of which are blocked by other tasks, dependent on unavailable people, or simply not urgent. ARIA continuously analyzes the task graph across your entire migration program, identifying which tasks are on the critical path, which are blocked by unavailable dependencies, and which can be deprioritized without affecting the timeline. This analysis is updated in real time as conditions change, so you always know where to focus the team next. The result is that your best people spend their time on work that actually matters rather than triaging an overwhelming task list.
Team Collaboration
Project channels, standups, skills/expertise mapping. Know who knows what. Route questions to the right people. Track team capacity and workload. M&A integrations involve large, often geographically distributed teams with rapidly changing memberships as the deal progresses from due diligence through integration and into steady state. Keeping everyone aligned without drowning in meetings and notification noise is a significant challenge. ARIA provides structured collaboration tools purpose-built for integration work: project channels organized by workstream, async standup summaries, and a skills registry that maps team members to their areas of expertise. When a question arises — about a specific application, a regulatory requirement, or a technical decision — ARIA can route it to the right person rather than broadcasting it to the entire team.
Onboarding Automation
New team members get up to speed instantly. ARIA provides project context, key decisions, outstanding risks, and relevant documentation automatically. Every team member who joins an active integration needs to come up to speed quickly — understanding the deal context, the current status, the decisions that have been made, and the risks that have been identified. Traditionally this takes days or weeks of conversations and document review. ARIA accelerates this dramatically: a new team member can ask ARIA for a briefing on the project and receive a structured summary of the deal, the current phase, key decisions, open risks, and relevant documentation. Follow-up questions drill into specific areas as needed. Onboarding that used to take two weeks can happen in an afternoon.
Post-Merger Chaos Intelligence
AI trained on the patterns of post-merger IT chaos. ARIA knows what breaks, why it breaks, and how to fix it faster. Post-merger IT environments are characterized by a specific and predictable set of problems: double identities causing authentication failures, DNS conflicts from overlapping address spaces, application timeouts from misconfigured load balancers, license waste from redundant SaaS subscriptions, and security gaps from inconsistent policy application across the combined environment. These patterns are well-documented in IT operations literature but not systematically applied during integrations. ARIA has been trained on these patterns and monitors your integration environment for early indicators of each one, alerting your team to emerging problems before they become user-facing incidents. When problems do occur, ARIA can suggest known solutions based on the specific error patterns it observes.
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