AI opportunity discovery · Fixed scope · AU $4,500 · 10 working days - Stop guessing where to use AI. Find the best opportunities from your actual workflow data.

Successify Discover is a fixed-scope AI opportunity discovery workshop for Australian businesses that have multiple AI ideas but do not know which one to start with.

In 10 working days, we analyse one workflow or process, identify bottlenecks and rework, rank AI opportunity candidates, flag governance risks, and deliver an executive-ready report.

Book an AI Opportunity Discovery Call View what is included

Evidence-based discovery · Human-reviewed findings · Not legal or compliance advice · Not a formal certification

AU $4,500: Early validation price
10 working days: Fixed timeline
One workflow: Clear, focused scope
Human-reviewed: Every finding validated
Executive PDF: Board-ready report

The problem - AI ideas are easy. Choosing the right one is hard.

Most organisations now have a long list of AI ideas: automate support responses, summarise tickets, improve quoting, streamline admin, analyse documents, assist staff, or build agents.

The problem is that many AI projects are chosen by guesswork, hype, or whoever speaks loudest. Before investing in AI, you need to know where the evidence points.

Before building AI, you need to know:

Where work slows down

Where do tasks queue up, wait on approvals, or stall before moving forward?

Where rework happens

Which steps regularly require corrections, exceptions, or repeat handling?

Which steps are repeated

Which activities happen so often that AI assistance would create compounding value?

Where humans make frequent decisions

Which decisions are routine, rule-based, or data-driven enough for AI support?

Where data is available

Which opportunities have enough structured, reliable data to train or run an AI model?

Which opportunity is worth testing first

Which use case has the best combination of value, feasibility, and manageable risk?

What we do - What Successify Discover does.

Successify Discover uses your workflow data and business context to create a practical AI opportunity map. We focus on one process or workflow and identify where AI could realistically improve speed, quality, consistency, or decision support.

This is designed for businesses that want an evidence-based starting point before building AI tools, automations, copilots, or agents.

Find process friction

Identify bottlenecks, rework loops, exception patterns, handoffs, and repeated manual tasks inside one workflow.

Rank AI opportunities

Score candidate AI use cases by value, feasibility, data readiness, governance risk, and human oversight needs.

Create an action plan

Receive an executive-ready report with prioritised opportunities, what-if estimates, and recommended next steps.

What data can be used? - Start with whatever workflow evidence you already have.

You do not need a perfect system or a clean data warehouse. We can start with whatever process evidence your team already produces.

Jira exports

Tickets, epics, sprint data, workflow transitions

Zendesk tickets

Support volume, resolution paths, escalations, tags

HubSpot exports

Pipeline stages, activity logs, deal/contact data

Salesforce exports

Activity history, workflow step data, stage transitions

Xero exports

Invoice history, approval workflows, payment exception data

Microsoft 365 audit logs

User activity, document workflows, approvals

Service desk reports

Ticket triage, routing patterns, resolution times

Manual process logs

Spreadsheets, trackers, checklists, task records

CSV spreadsheets

Any structured workflow or activity data your team tracks

Workflow or process documentation

SOPs, process maps, procedure guides, runbooks

If your data is messy, that is normal. Part of the workshop is assessing whether your workflow evidence is strong enough to support AI opportunity prioritisation. We will tell you honestly if it is not.

Deliverables - What you receive.

Nine components delivered as a single evidence pack — practical, plain-English, and ready for internal planning or leadership review.

Process map

A clear map of the selected workflow, key activities, handoffs, and process steps.

Bottleneck analysis

A practical view of where delays, manual effort, queues, or repeated work appear in the workflow.

Rework and exception summary

Identification of repeated corrections, escalations, failed handoffs, or avoidable process loops.

Ranked AI opportunity candidates

A prioritised list of AI use cases that could realistically improve the selected workflow.

AI opportunity scorecard

Each opportunity scored across value, feasibility, data readiness, governance risk, and human oversight needs.

Governance and risk flags

Clear warnings for opportunities involving sensitive data, legal, medical, or financial decisions, privacy risks, or high autonomy.

What-if improvement estimate

A directional estimate of how AI could affect time, cost, quality, or human effort — not a guarantee.

Executive PDF report

A clear, plain-English report suitable for leadership, business case discussion, or internal planning.

60-minute readout

A guided walkthrough of findings, risks, opportunities, and recommended next steps with your team.

How it works - How the 10-day workshop works.

Step 1

You + us — 30 min

Discovery call

We confirm the process or workflow, the business goal, available data sources, and the workshop scope. We tell you honestly if the engagement is right for your situation before anything is paid.

Step 2

You

Secure intake

You provide a CSV export, workflow log, ticket export, manual process log, or operations documentation. If your data is messy — that is normal. We assess data quality as part of the workshop.

Steps 3–6

Workflow analysis

We analyse activities, handoffs, bottlenecks, repeated decisions, rework loops, and exception patterns. We identify where time, cost, quality, and consistency could realistically be improved.

Steps 7–8

AI opportunity scoring

We score each candidate AI use case using value, feasibility, data readiness, governance risk, human oversight needs, and implementation complexity. Every finding is human-reviewed before delivery.

Day 10

You + us — 60 min

Executive report and readout

Your PDF report is delivered securely. We walk through findings, answer questions, and confirm your recommended next steps in a recorded 60-minute call.

Scoring model - How opportunities are scored.

Each AI opportunity is assessed against practical business and governance criteria — not hype. The goal is not to automate everything. The goal is to identify the best first AI opportunity with a clear business case and manageable risk.

Customer value

How directly does this opportunity improve the customer or staff experience?

Cost reduction potential

Could AI reduce manual effort, rework, or process cost?

Human effort reduction

How much repetitive or low-value human work could be reduced?

Workflow frequency

How often does this process or task occur? High frequency = higher leverage.

Bottleneck severity

How badly does this step slow down throughput or output quality?

Data readiness

Is there enough structured, reliable data to support an AI solution?

Implementation feasibility

Can this be built with available tools, budget, and team capability?

Governance risk

Does this involve sensitive data, high-stakes decisions, or compliance exposure?

Human approval requirement

Does the output need human review before acting? Is that acceptable?

Agentic potential

Could this evolve into an autonomous agent with appropriate guardrails?

Measurable outcome potential

Can success be defined and measured clearly before building?

Scoring is human-reviewed and contextual — not a purely algorithmic output. Our consultant reviews each dimension against your specific workflow, team capability, and business context.

Who it is for - Who this workshop is for.

Good fit

Businesses with many AI ideas but no framework
You have heard dozens of AI use cases. You need an evidence-based way to choose the right first one.
Operations and improvement teams
Trying to reduce manual workflow friction, identify bottlenecks, or build a business case for AI investment.
Customer support and service teams
High ticket volume, repeated decisions, escalation patterns, and quality variation — all strong AI opportunity signals.
Professional services firms
Accounting, legal, consulting, and advisory firms with repeated admin, research, or document workflows.
AI agencies and implementation partners
You need evidence before recommending a client build. Use the workshop to validate the opportunity before scoping.
MSPs and consultants supporting SMBs
Helping clients plan AI adoption? The workshop gives you a structured, evidence-based starting point.
Leaders preparing an AI business case
Building a case for management, board, or investment committee review? The executive report is designed for that audience.

This may not be the right fit if…

You want a generic AI inspiration session with no workflow evidence
You have no workflow data, process logs, or operational documentation at all
You expect a guaranteed ROI figure without validation or testing
You want to fully automate high-risk decisions without human review or governance controls
You need a certified legal, privacy, cyber security, or compliance audit
You want a full enterprise process-mining platform implementation

Pricing - Early validation price. Scope confirmed after discovery call.

AU $4,500ex GST

Successify Discover — AI Opportunity Discovery Workshop

Early validation pricing. Final scope confirmed after the discovery call. Payment on acceptance of scope.

Included in scope:

One process or workflow
Up to one primary data export or manual process log
Process map
Bottleneck and rework analysis
Ranked AI opportunity candidates
AI opportunity scorecard
Governance and risk flags
Directional what-if improvement estimate
Executive PDF report
60-minute readout call

Book an AI Opportunity Discovery Call Ask for a sample report

Additional workflows, data sources, or deeper implementation planning can be scoped separately after the initial report.

Example use cases - Example workflows we can analyse.

Any workflow with measurable activities, repeated steps, handoffs, or decision points is a candidate for discovery.

Customer support ticket handling

Quoting and estimate workflows

Client onboarding

Invoice and payment exception handling

Internal approval workflows

Service desk triage

Sales lead follow-up

Project and task management workflow

Compliance evidence collection

Document review or research process

Field service and admin workflows

AI use case intake process

Methodology - Evidence first. AI second.

Successify Discover starts with workflow evidence, not AI hype. We look for repeated work, bottlenecks, decision points, rework, exceptions, and measurable improvement opportunities before we recommend any technology.

The workshop combines

Business process analysis and workflow mapping
Workflow and event-log review against business goals
AI opportunity scoring across value and governance dimensions
Governance and risk review for each candidate use case
Human-centred implementation thinking — not just technical feasibility
Executive-ready reporting suitable for leadership or board review

Our approach

We start from your evidence — not a pre-built AI use case template
Opportunities are ranked by real-world feasibility, not marketing potential
Every finding is human-reviewed before it appears in your report
We flag governance and risk issues before recommending any build
We tell you honestly if the evidence does not support a specific AI use case
The output is a decision-support report — not a pre-sold implementation

Governance - AI opportunities need governance from day one.

Some AI opportunities are low risk. Others involve sensitive data, customer impact, legal or financial context, or high levels of autonomy. The workshop flags where human review, privacy checks, data readiness, evidence quality, or governance controls may be needed before implementation.

Sensitive data

Health, financial, legal, and personal data require clear handling rules before AI processes them.

High-stakes decisions

AI assisting with credit, medical triage, legal advice, or compliance decisions needs human oversight.

Customer impact

Automated customer-facing outputs need clear escalation paths and human review checkpoints.

Data quality and readiness

Low-quality or incomplete data creates unreliable AI outputs — we flag this clearly.

Privacy risk

AI that processes personal information may trigger Privacy Act obligations — flagged in the report.

Agentic and autonomous risk

Highly autonomous agents need stricter governance — we score this separately in the opportunity assessment.

Important — what this service is and is not

This service provides workflow-informed AI opportunity analysis and decision-support guidance. It is not legal advice, not a formal compliance or privacy certification, and not a guarantee of AI performance or return on investment. The what-if improvement estimates are directional and based on workflow evidence only. Actual outcomes depend on implementation quality, data readiness, and business context. We do not sell AI implementations as part of this service — the report is a decision-support tool to help you choose wisely before you build.

Find your best first AI opportunity before you build.

Use real workflow evidence to decide where AI can create value, where risk needs controls, and what should be tested first. Book a 30-minute discovery call — we will confirm fit and scope before anything is paid.

Book an AI Opportunity Discovery Call Ask for a sample report →

AU $4,500 ex GST · Early validation price · 10 working days · One workflow · Human-reviewed · Not a compliance audit

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Our office

Wollongong
NSW, Australia