ACT Blueprint — Contact center estate discovery in 24 hours Automated forensic mapping of your entire contact center estate

Your contact center estate holds more than anyone has mapped. ACT Blueprint reveals all of it.

Most contact center transformation decisions are made before anyone has seen what is actually running. Platform evaluations, vendor comparisons, board briefs — all built on assumptions about a system nobody has fully read. ACT Blueprint gives you the complete picture of your current estate in 24 hours, so every decision that follows is grounded in fact.

67% of teams can't confirm their flows are fully documented
70% of CCaaS migrations exceed initial budget
40%→15% misroute rate drop after a rebuild grounded in full Discovery
ACT BLUEPRINT · CISCO CVP · P&C INSURANCE IVR INITIALIZING…
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62%

of organizations cite integration challenges as the primary barrier to contact center migration. The technology is rarely the blocker. It's the undocumented dependencies hiding behind it.

41%

Average time overrun on CCaaS projects, with a 30% budget overrun on top, all driven by complexity nobody knew existed until they were already mid-migration.

1 in 4

Decision-makers report being completely satisfied with their CCaaS migration outcome, according to Forrester. The rest discovered too late what they were actually dealing with.

The root cause

The complexity doesn't disappear because nobody looked at it.

It waits. And it surfaces mid-project, at the most expensive point to find it.

Your contact center has been modified, patched, and extended for years. Flows added for seasonal campaigns. Routing rules adjusted for workforce changes. Integrations built by people who have since moved on. Every one of those changes is running in production, and most of it lives nowhere else but the system itself.

The executives who avoid costly migration surprises are not luckier. They had a complete, objective picture of what they were actually running before they committed to a direction.

"Contact centers change constantly, and documentation rarely keeps up. It matters the moment you modernize. Every undocumented rule becomes a surprise in testing or a problem after cutover."

The gaps are almost never in the main menu. They're in after-hours logic, workforce management, cross-department transfer rules, and integrations only one person understands. When that person moves on, the organization is left with systems that work but that nobody can fully explain. What depends on them. What would break.

This is the problem ACT Blueprint exists to solve. Before a migration, a modernization initiative, or the first line of an RFP, we give you a complete, automated view of what is actually running across the contact center estate.

Contact center documentation coverage — industry poll
Fully mapped
33%
Mostly, with gaps
38%
Significant gaps
22%
Don't really know
5%

Voicebots and conversational AI will be live in 78% of contact centers by 2030. Today the figure is 32%. That is a lot of legacy IVR about to be replaced — and most of it has never been fully read.

42% of callers still start by phoning a live person, and only 3% start with keypad menus (CCW Digital, 2026). The IVR sits between people and their answer. Before you upgrade it, you need to know what it is.

What you receive

A complete picture. In under 24 hours.

One automated run produces four structured outputs. Everything you need to evaluate your options, choose a platform, and brief a migration team — before you commit to any direction.

Output 01
Knowledge Graph

Every IVR flow, routing rule, queue configuration, and integration endpoint mapped as typed nodes and relationships. The complete wiring diagram of your contact center estate — queryable, exportable, and ready to hand to a migration team.

Output 02
Business Journey Map

All flows organized into named business journeys — Billing, Claims, FNOL, Transfers. Each journey shows the caller path, the intent it handles, and where it succeeds or fails to contain the call. The estate in the language of your business.

Output 03
Integration Surface Report

A complete map of every backend system your contact center touches — databases, APIs, CRM integrations, payment handlers. What depends on what, what would break if you moved it, and what can be safely cut.

Output 04
Caller Experience Analysis

Where callers are reaching the right outcome, where they are failing to self-serve, and where they are escalating unnecessarily. The performance picture of your current estate — from the caller's side, not the engineer's.

The ACT Blueprint process

One pass over your existing platform. Four stages. A complete map.

No manual documentation. No workshops to reconstruct tribal knowledge. ACT Blueprint reads your contact center estate directly, starting with the IVR layer where most of the complexity lives and working outward through routing, queue, and integration surfaces.

01 — INGEST
Read the source project

We connect to your platform — Avaya, Cisco CVP, or Genesys — and read the live configuration directly from source. No dependency on documentation. No interviews. What is actually running today.

02 — ASSEMBLE
Build the knowledge graph

Every flow, routing path, queue rule, and integration endpoint is assembled into a structured knowledge graph. A complete, queryable map of your contact center estate — not a summary, not a sample.

03 — ANALYZE
Derive the semantics

Each flow is given a business-language label: what it is trying to do, where it succeeds, and where it creates friction. Findings land in a format your team can read without engineering translation.

04 — GROUP
Name the journeys

Flows are organized into named business journeys — Billing, Claims, FNOL, Transfers — the way your team thinks about the estate, not the way source files are structured. Ready to evaluate, ready to hand to a migration team.

When to run ACT Blueprint

Run it before the decision. Not after it.

ACT Blueprint is designed for the beginning of any significant contact center initiative. If you are in any of these situations, this is where it fits.

Planning a migration

Know what you are migrating before you evaluate where you are going

Platform comparisons, vendor scorecards, and cost models are all built on assumptions about your current estate. ACT Blueprint replaces those assumptions with facts — before the first vendor conversation, before the first line of an RFP.

  • ✓Understand what is running in production — not what was last documented
  • ✓Know your integration surface before a vendor estimates complexity and cost
  • ✓Arrive at scope conversations with verified data, not assumptions
Evaluating your current system

Get an objective read on what is working and what is not

Before deciding whether to transform, upgrade, or hold — you need a clear view of what your contact center is actually doing for callers. ACT Blueprint surfaces containment failures, broken paths, and integration gaps automatically.

  • ✓See where callers succeed, where they fail, and where they drop
  • ✓Identify automation gaps driving unnecessary agent escalation
  • ✓Build the business case for change on real performance data
Selecting a platform or writing an RFP

Issue your RFP with facts, not vendor assumptions

An RFP built on incomplete discovery produces inaccurate bids and scope gaps that surface after contract signature. ACT Blueprint gives you the estate map you need to write a brief that reflects your actual complexity.

  • ✓Know your flow count, journey count, and integration count before vendors do
  • ✓Compare vendor responses against a verified baseline, not their own estimates
  • ✓Reduce scope change risk after the engagement starts
Working with a partner or SI

Replace weeks of workshops with one automated pass

ACT Blueprint removes the most time-consuming, people-intensive phase of any transformation engagement — for both sides. Your partner gets a verified estate map from day one. You skip the workshop phase and reach the transformation plan faster.

  • ✓Compress discovery from weeks to under 24 hours
  • ✓Reduce dependency on your internal team's availability during discovery
  • ✓Give your SI a structured foundation to work from — not tribal knowledge
Request an ACT Blueprint Run
What ACT Blueprint reveals

A real discovery. A 10-year-old Cisco estate. Findings the organization had never seen.

One of the largest property and casualty insurers in the United States had been running their IVR on Cisco Unified CVP for over ten years. The system handled millions of calls annually, modified for seasonal campaigns, adjusted for workforce changes, extended by teams that had since moved on. No one had a complete, current view of what was actually in it.

ACT Blueprint ran a single automated pass across the full Call Studio application. In one session it reconstructed 186 dialog nodes, 319 relationships, and 11 distinct caller journeys into a Neo4j knowledge graph, and surfaced findings that had been invisible in production for years. The graph showed how the system was built. The call records showed what callers actually experienced.

Below is what the two data sources showed when crossed against each other.

Platform Cisco CVP · 10+ years
Vertical P&C Insurance · USA
Graph output 186 nodes · 319 edges
Call sample 10,000 conversations
Sample window 5,957 callers · 90 days
From the business case · what the opportunity is worth
LeverBasis in the artifactsAnnual impactSource
Contacts deflected Containment 41% → 68% across waves 1–4; 651k contacts at $4.85 fully loaded $3.16M R2, R3
Repeat contacts avoided 7-day repeat rate 23% → 15%; 193k fewer repeat contacts $0.94M R3, T2
Avaya platform retired 15 duplicate flows consolidated; licence and support released $0.41M C3, F1, F4
Change velocity Prompt change lead time 14 days → 2 days; ticket data not provided not costed F1
Agent attrition No workforce management extract provided not costed —
Quantified total $4.51M

Only levers supported by provided artifacts are monetised. Change velocity and agent attrition are named but not costed — underlying data was not shared.

The operational metrics below explain where that number comes from.

24.6%
contained
of calls resolved without an agent
The designed ceiling is 37.4% — the ghost arc. The 12.8-point gap is calls that should self-serve but route out before they can.
62.6%
no path
of calls want something the line can't self-serve
Only 2 of the 7 reasons people call have any self-service path. The other five always end at an agent, by design.
70%
error rate
of calls hit a recognition failure
Keypad ID entry is the worst offender at 23%+ error. The system collects data it can't reliably read, then routes the failure to a human.
15.3%
no path
of calls are about billing
An intent with no designed path at all. Every billing inquiry dead-ends to an agent — a design gap the graph made visible for the first time.
24.7%
repeat
call back within a week
92% of those repeat calls follow a call that never resolved. Repeat contact is a containment problem, not a volume one.

All figures computed from the 10,000-conversation sample (195,174 turns, 5,957 callers) over a 90-day window. Design baselines derived from the reconstructed graph.

The one-line finding: The flow authenticates hard up front, then asks callers to re-enter data it already looked up, walks them through a confirmation menu it ignores, and routes every recognition failure to a human. Structurally it's sound, no dead ends, nothing orphaned. But the design serves the system, not the caller. A redesign gets to fix that.
From the executive summary

The line works — but it works for the system, not the caller.

This IVR is complete and well built — every path resolves, nothing is orphaned. But it authenticates hard and early, makes callers re-key data it had already found, routes through a confirmation menu whose answer is ignored, and sends every stumble to an agent. Most calls still end with a person, and the reasons people call most are the ones the line was never built to finish.

The headline

Resolution is a coverage problem, not a tuning problem. Decide which journeys should finish without a human, add the billing journey that has no path at all, and stop making callers prove who they are after you have already recognised them.

From the discovery teardown · where each journey stands
JourneyCallWhy
Claim status inquiryModernize14 turns behind two menus to hear one fact; highest-volume reason to call.
Report a new accident (FNOL)Modernize20+ turns; ten questions in series; location captured twice.
Main-menu navigationModernizeA numbered menu tree with no way to just say what you want.
Identification & verificationRationalizeDead confirmation menu, unused lookup, a simulated check.
Greeting & languageRationalizeLanguage forced as a menu choice on every single call.
Roadside assistanceInvestigateLooks like self-service but always transfers; no dispatch integration exists.
FNOL submission & fraud routingRetainBackend evaluation and fraud routing are sound.
Coverage validationRetainClean gate before a claim is opened.

Retain 4 · Rationalize 3 · Modernize 3 · Investigate 1 — across 11 journeys, 186 nodes, 319 relationships

See the full sample report →
Sample report

There is more in the full report than we show here.

The sample report from the Cisco CVP run includes six analyses, eleven caller journeys mapped from source code, and a prioritised redesign brief. Every figure is derived from real call records and real source code — no estimates, no synthetic data.

CALLER Experience Overview · 11 Journeys Mapped
Cisco CVP · P&C Insurance IVR · Run 2024-11-12 · 186 nodes
JourneyTurnsFrictionStatus
Claim Status14HIGH
FNOL Submission20+CRIT
Auth & Verify8WARN
Roadside Assist6MED
CALLER Friction Analysis · 5 Findings Extracted
Derived from graph traversal · IVR call path analysis
FindingSev.Impact
Dead collection turnsCRIT2 turns wasted
Front-loaded authHIGH8 mandatory turns
Repeat data captureMEDZIP × 3 per call
No fallback recoveryCRITTransfer-only
CONFIG IVR Node Inventory · 186 Nodes · 12 Types
319 relationships · 8 rel. types · 0 orphaned nodes
Node TypeCountIssuesAvg Depth
Dialog Turn4927.4
Decision Branch3806.2
Backend Action705.1
Grammar / Input3417.8
CONFIG Integration Surface · 7 Integrations Found
4 data categories · Java action classes · Call Studio
FunctionClassRisk
Identity verifyVerifyCustomerActionLOW
FNOL submissionCreateFnolActionMED
Claim statusGetClaimStatusActionLOW
Claim priorityClassifyClaimPriorityMED
What comes next

Discovery is the first step. Migration is the natural next one.

ACT Blueprint produces the complete picture of what you're working with. Aumne ACT uses that picture to migrate it — automatically, in 45 days.

Step 01 — ACT Blueprint
Discovery as a Service
One automated pass over your existing platform produces a complete knowledge graph of every flow, intent, entity, journey, and backend integration across the contact center estate. The full picture, delivered before you write a single line of your migration plan.
Step 02 — Aumne ACT
Agentic Conversation Transformer
The ACT Blueprint knowledge graph feeds directly into Aumne ACT — our agentic AI platform that generates production-ready conversational flows for Amazon Connect or Dialogflow CX. The discovery you already have becomes the source of truth for migration.
Step 03 — Modernized
AI-native contact center
Your callers reach the right outcome faster. Your team knows exactly what was built and why. No assumptions survived into production. No surprises at cutover. The full picture — from the start.
Get started with ACT Blueprint

Run a Discovery on your contact center before your next planning cycle.

Share your source project and we run ACT Blueprint. You receive the full knowledge graph, the business journey map, the integration surface, and the caller experience analysis — before you commit to any migration approach.

Or reach us directly hello@aumne.ai
Statistics: Forrester Research (2024) · CCW Digital 2026 · IDC Contact Center Survey 2024 · LinkedIn Community Poll (n=231) · Internal Aumne ACT Blueprint run: Cisco Unified CVP Call Studio, P&C insurance vertical
ACT Blueprint — Discovery as a Service is an Aumne AI offering · Supports Avaya, Cisco CVP, Genesys Call Studio · hello@aumne.ai