Part 5: Know What's Actually Possible
The gap between what vendors promise and what's technically feasible is where budgets go to die.
Your developer says:
“That integration will take 8 weeks.”
Is that real? Or sandbagging? You can't tell.
Timeline Reality Checks
Here's what common marketing requests actually take — and why.
| Request | Timeline | Why | Red Flag |
|---|---|---|---|
| Simple API Integration (pre-built) | 2–5 days | Testing + edge cases | “Instant setup” but needs custom fields |
| Custom API Integration | 3–6 weeks | Dev, testing, security review | “2 weeks” without asking about security |
| AI Chatbot (template) | 1–2 weeks | Data upload, testing | “48 hours” but skips training |
| AI Chatbot (custom) | 6–12 weeks | Custom training, knowledge base | Doesn’t ask about content sources |
| Data Migration (CRM/MAP/CDP) | 4–12 weeks | Mapping, cleaning, validation | Doesn’t ask about data quality |
| Landing Page Personalization (rules) | 1–2 weeks | Segment setup, QA | “Real-time AI” but it’s if/then |
| Landing Page Personalization (AI) | 6–8 weeks | Model training, A/B testing | No “learning phase” mentioned |
| Email Automation (simple) | 3–5 days | Trigger setup, templates | No deliverability testing |
| Email Automation (complex) | 2–4 weeks | Logic mapping, branching | Doesn’t ask about current workflows |
What Slows Things Down (That No One Tells You)
IT Security Review
+2–4 weeksAny tool touching customer data needs security approval. The vendor doesn’t know your internal process — and they won’t build it into their timeline.
Questions to ask internally:
- “Does this need a security review?”
- “How long does our approval take?”
Data Quality Issues
+1–8 weeksAI and machine learning fail with dirty data. Duplicates, missing fields, and inconsistent formatting all need cleaning before any tool can deliver results.
Questions to ask internally:
- “What’s our CRM data quality?”
- “Do we have a cleanliness score?”
Approval Workflows
+1–4 weeksMost B2B purchases need 3–5 stakeholders: IT, Security, Legal, Finance, and an executive sponsor. Vendor timelines assume instant internal approval.
Questions to ask internally:
- “Who needs to approve?”
- “Realistic timeline for approvals?”
Change Management & Training
+2–6 weeksYour team needs to learn the new tool. Vendor timelines rarely include training — they assume your team is ready on day one.
Questions to ask internally:
- “What training is included?”
- “How long until self-sufficient?”
“Can We Build This?” Quick Guide
Common requests and whether they're realistic:
Can AI write our weekly newsletter?
Yes — draft only, needs human editing.
Outcome: 30–40% time savings, not 100%.
Can we auto-personalize website in real-time?
Yes with CDP + personalization engine.
Outcome: $50K–$200K/year, 3–6 months to ROI.
Can AI predict which leads convert?
Yes with 1000+ historical data points.
Outcome: 2–3 months to train.
Can we integrate CRM with marketing platform?
Yes via APIs/Zapier.
Outcome: $0–$25K, 2 days to 6 weeks.
Can AI create social content and auto-post?
AI can draft but doesn’t understand trending context.
Outcome: Use AI for drafts, humans for approval.
Can we set up chatbot that answers anything?
70–85% accuracy at best, needs human fallback.
Outcome: 4–8 weeks training + ongoing.
Key Takeaway
- You now know realistic timelines for common marketing AI projects.
- You can identify hidden delays that vendors won’t mention.
- You can challenge estimates with confidence — and set expectations that stick.
You've Completed The STACK Framework
Congratulations! You're now technically literate.
In 10 minutes, you learned:
- 1How to separate real AI from rebranded software (Signal from Noise)
- 2The 12 technical terms vendors use to confuse you (Translate Claims)
- 3A 5-level framework for evaluating AI capabilities (Assess AI)
- 4Seven red flags and a demo checklist for vendor meetings (Challenge Vendors)
- 5Realistic timelines and honest feasibility assessments (Know What’s Possible)
You're now equipped to:
- Evaluate martech vendors without getting lost in jargon
- Challenge unrealistic timelines with data
- Spot vendor theater before signing contracts
- Make smarter budget decisions with confidence