Every Streamline Intelligence engagement has the same hard constraint: live in 14 days, or we don’t take the project.
This sounds like a marketing claim. It isn’t. It’s an operating principle that drives almost every other decision we make.
Why most AI projects ship in months, not weeks
Look at the public case studies of mid-sized AI consultancies. The pattern is almost universal:
- Discovery: 2-4 weeks
- Strategy doc: 2-3 weeks
- Build: 6-12 weeks
- Testing: 3-4 weeks
- Launch: 1-2 weeks
Total: 4-6 months from kickoff to anything customer-facing.
For an SMB owner, that’s a lifetime. They’re paying for nothing for 18 weeks before they see a working thing. Usually, the project either gets cancelled, scope-creeped beyond recognition, or quietly forgotten.
Why 14 days actually works
Three things make 14-day shipping possible:
1. We don’t custom-build. Each SKU is a template. The first time we shipped Inbound Concierge it took 21 days. The fifth took 11. The template is the leverage.
2. We pick the highest-leverage automation first. Not the one that’s most exciting, not the one with the most features, not the one the founder is most proud of. The one that recovers the most hours or dollars in week one. Everything else is week three.
3. We say no to scope expansion. Day-1 discovery gets a single answer: what’s the highest-impact automation we can ship in two weeks? We do that one. Adjacent ideas get parked for the quarterly review.
What ships in 14 days
For Inbound Concierge, day 14 looks like:
- AI text-back live on missed calls
- AI chat widget on the website
- After-hours voice agent answering the main number
- Bookings flowing into the client’s calendar
- Weekly report scheduled
For Support Autopilot:
- AI assistant trained on the help docs
- Embedded on the website chat
- Email auto-replies live for the top 5 question types
- Escalation rules configured for human handoff
- Slack alerts on flagged conversations
For Ops Automator:
- The single highest-ROI automation, end-to-end
- Connected to the right inputs and outputs in the client’s stack
- Monitored, with alerts to a shared Slack channel
- Documentation in the client’s Notion or shared drive
What does NOT ship in 14 days: anything that requires a tool the client hasn’t bought, custom integration with anything obscure, edge cases that affect <5% of volume, “what if” features.
Why the constraint helps the client
Counter-intuitively, the 14-day rule produces better outcomes than longer timelines. Three reasons:
Working software in week 2 is worth more than perfect software in month 4. A live, imperfect automation generates value (and feedback) immediately. We tune from real data, not hypotheses.
The discipline forces the right call. When you have 14 days and one shot, you don’t pick the cute automation, you pick the one that pays for itself. Clients consistently agree with our day-1 prioritisation because the math is obvious.
Trust gets built fast. A client who sees a working thing in week 2 trusts you to build the next one. A client who has been in discovery for 6 weeks is wondering when something useful will happen.
When the rule breaks
The 14-day rule breaks for two kinds of projects:
- Genuinely custom integrations with rare or proprietary systems. We scope these as separate one-shots ($2,500+) outside the monthly SKU.
- Compliance-heavy work where the testing and review cycle is the project. We don’t take those.
Saying no to those is part of why the rule works for everything else.
The takeaway
The 14-day shipping rule isn’t a sales gimmick. It’s the constraint that forces the rest of our operation: productize, template, prioritise hard, monitor live. Every shortcut and every tool choice points back to “can we ship this in 14 days?”
If you’re a founder who’s tired of AI projects that promise the moon and deliver a slide deck six months later, book a call. We’ll tell you in 15 minutes whether your situation fits a 14-day ship.