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Implementation Timeline: What Actually Happens During AI Automation

May 1, 2025

Vendors say 'quick and easy,' but what really happens? The honest timeline from 50+ implementations—including what goes wrong and how to avoid it.

Cover Image for Implementation Timeline: What Actually Happens During AI Automation

"How long does this actually take? The brochure says 2 weeks."

Every business owner asks this. The honest answer: 4-8 weeks for most implementations.

Marketing says "quick and easy." Reality has more moving parts. Here's what actually happens, based on 50+ projects.

What you'll learn in 3 minutes

  • The real 4-phase implementation timeline
  • Why projects extend (and how to prevent it)
  • What you need to prepare before starting

The 4-Phase Reality

Phase 1 (Week 1): Discovery and planning

Phase 2 (Weeks 2-3): Building and testing

Phase 3 (Weeks 4-5): Refining and training

Phase 4 (Weeks 6+): Go-live and optimization

Most projects finish in 6-8 weeks. Some take longer—here's why.

Phase 1: Discovery (Week 1)

What happens

  • Map your current process (really map it, not guess)
  • Check system integrations and data quality
  • Set realistic timeline based on what we find

Your time commitment

8-10 hours total: Initial meetings, process walkthrough, data review

Real example: Adelaide Law Firm

Expected: Simple document review automation
Reality discovered:

  • 7 different document types (not 2)
  • 3 legacy systems needing integration
  • Exception processes for 30% of documents

Lesson: Processes are always more complex than they first appear.

What extends this phase

Poor documentation – If you can't clearly explain your current process, add 1-2 weeks

Data quality issues – Messy data = longer discovery

Multiple stakeholders – Getting everyone aligned takes time

Phase 2: Building and Testing (Weeks 2-3)

What happens

  • Build the core automation
  • Create integrations with your systems
  • Test with sample data and get your feedback

Your time commitment

6-8 hours: Weekly check-ins, prototype testing, feedback sessions

Real example: Brisbane Accounting Firm

Expected: Invoice processing with 5 standard formats
Reality discovered: 23 different supplier invoice formats

Impact: Added 1 week for additional format handling

What extends this phase

Integration surprises – Custom software, legacy systems, security restrictions

Scope creep – "While we're at it, can we also automate..."

Data format variations – Every supplier does things differently

Phase 3: Refining and Training (Weeks 4-5)

What happens

  • Test with real data (not samples)
  • Train your staff on new processes
  • Run old and new systems in parallel briefly

Your time commitment

12-15 hours: User testing, training sessions, parallel running support

Real example: Perth Manufacturing

Challenge: ERP system more complex than documented
Solution: Built middleware for proper integration
Time added: 10 days

What extends this phase

Change resistance – Staff uncomfortable with new processes

Training needs – Some people need more time to adapt

Technical refinements – Real data reveals edge cases

Phase 4: Go-Live and Optimization (Week 6+)

What happens

  • Full production launch
  • Monitor and fix any issues quickly
  • Optimize performance based on real usage

Your time commitment

8-12 hours: Go-live support, issue reporting, optimization feedback

Common reality check

Expect 10-20% productivity decrease for the first 2-4 weeks while staff adjust.

Timeline by Industry

IndustryTypical DurationMain Challenge
Professional Services4-6 weeksComplex approval workflows
Manufacturing5-8 weeksProduction system integration
Healthcare6-10 weeksCompliance and privacy requirements
Retail/E-commerce4-7 weeksPeak season timing constraints

What Makes Projects Run Long

Data quality problems (adds 1-3 weeks)

  • Inconsistent formats
  • Missing information
  • Duplicate records
  • Outdated data

Prevention: Clean your data first.

Integration complexity (adds 2-4 weeks)

  • Custom software modifications
  • Legacy systems without APIs
  • Security restrictions

Prevention: Provide complete technical documentation upfront.

Scope creep (adds 1-6 weeks)

  • "While we're at it..." requests
  • Adding departments mid-project
  • Changing requirements

Prevention: Define boundaries clearly. Save enhancements for phase 2.

Change management issues (adds 2-5 weeks)

  • Staff resistance
  • Key people unavailable
  • Poor communication

Prevention: Invest in change management from day one.

Project Success Factors

Strong internal champion

You need someone who:

  • Has authority to make decisions
  • Understands the process intimately
  • Can dedicate 3-5 hours/week to the project
  • Publicly supports the change

Clean, consistent data

Best case: Well-organized, consistent data formats
Worst case: Data scattered across systems in different formats

Realistic expectations

  • Automation won't be perfect on day one
  • Staff need time to adapt (2-4 weeks typically)
  • Benefits build over time

Red Flags That Extend Timelines

Week 1: Key stakeholders unavailable or disengaged

Week 2: Major technical surprises discovered

Week 3: Development behind schedule with no explanation

Week 4: Testing reveals fundamental design problems

Address red flags immediately. Problems don't fix themselves.

Your Pre-Implementation Checklist

Before starting

Document your current process clearly (not just "this is how we've always done it")

Clean your data if possible (saves weeks during implementation)

Designate your project champion and give them time

Set realistic expectations with staff about timeline and temporary disruption

Questions to ask your vendor

  • What's included in your standard timeline?
  • How do you handle scope changes?
  • What support is provided during go-live?
  • What happens if integration is more complex than expected?

Budget for Reality

Timeline buffer: Add 20% to whatever estimate you receive

Staff time: Your people will spend 15-25 hours over 6-8 weeks

Temporary productivity decrease: Plan for 10-20% drop during transition

Post-launch optimization: Budget for 2-4 weeks of refinements

Bottom Line

Realistic timeline: 4-8 weeks, with 6 weeks being typical.

Success factors: Clean data, engaged sponsor, realistic expectations.

Common delays: Data quality, integration complexity, scope creep, change resistance.

Implementation is a partnership. Vendors handle the technical work, but success depends on your preparation and engagement.

The businesses that finish fastest have three things: clean data, clear processes, and committed leadership.


Ready to plan your implementation timeline? Our process assessment identifies specific factors that could extend your timeline and creates a realistic project plan. Start your implementation planning →