What is a 14-day AI sprint?

The shape, in one paragraph

Two-week fixed-scope engagement. Ships one production AI workflow live on your stack. Day 1 is kickoff. Day 7 is mid-engagement checkpoint. Day 14 is delivery walkthrough.

The deliverable is real. Deployed. Measured. The price is fixed. The scope is fixed. The ship date is guaranteed — daily credits apply if missed.

It's the Tier 2 unit-of-shipping at Doxia Axis. It's also the alternative to multi-month transformation engagements that produce decks instead of deployed systems.

The pattern is deliberately narrow. One workflow shipped, not five workstreams negotiated. One scope locked at kickoff, not a backlog grooming meeting every week. One walkthrough at the end, not a quarterly steering committee. The discipline is what makes 14 days enough.

So why exactly 14 days?

Three reasons.

It's long enough to ship a useful workflow. A schema deployment across 24 practice-area pages plus a structured intake agent for a law firm. A property-specific AI concierge integrated with the PMS for a boutique inn. A multi-page schema deployment plus content refresh for a SaaS company. Each of these requires more than a week of focused work. None of them requires more than two.

It's short enough that scope can't drift. Once the engagement starts, every day is a counted day. The mid-engagement checkpoint at day 7 isn't optional. The delivery walkthrough at day 14 isn't optional. Scope creep gets caught at the checkpoint and either adjusted formally or carried into a separate engagement. It does not silently expand the sprint.

It maps to operator decision cycles. Most post-PMF operators can commit to a two-week window. They can carve out the kickoff hour, the mid-engagement check-in, and the walkthrough. They cannot reliably commit to a four-month engagement with the same focus, even when the underlying problem deserves it. The 14-day cadence respects the operator's actual calendar.

What does a sprint actually ship?

Three example sprint scopes from real engagements:

Example 1 — legal vertical, schema deployment + intake automation

For a 30-year personal injury firm in Savannah (case study):

• Day 1. Kickoff. Confirm the schema-deployment list. Confirm the practice-area pages in scope.
• Day 2–4. Attorney, LegalService, Person with hasCredential, Review / AggregateRating schema deployment.
• Day 5–8. FAQPage schema across 24 practice-area pages, 5 to 10 Q&As per page.
• Day 7. Mid-engagement checkpoint. Re-test the firm against the AI engines. Verify schema rendering.
• Day 9–11. Case-results hub with LegalService markup.
• Day 12–13. 24/7 structured intake agent — qualifying questions, case-type triage, after-hours-specific routing.
• Day 14. Delivery walkthrough. Re-test against the AI engines. Compare cited authorities pre vs post.

Example 2 — hospitality vertical, AI concierge

For a 10-room boutique inn in coastal South Carolina (case study):

• Day 1. Kickoff. Confirm corpus inventory — room descriptions, policies, FAQ, PMS endpoints.
• Day 2–3. Knowledge-base extraction. Source-of-truth content library built.
• Day 4–7. AI concierge build. Trained on the corpus. Tested against a defined query set. Integrated with the PMS for live availability.
• Day 7. Mid-engagement checkpoint. Stress-test the concierge against the innkeeper team's own daily question patterns.
• Day 8–10. Escalation flow with full conversation history.
• Day 11–12. Auto-response and qualification flow on the inquiry surface.
• Day 13. On-site widget integration with same-page booking capture.
• Day 14. Delivery walkthrough. Concierge live on-site. Re-test against historical inbound queries.

Example 3 — SaaS vertical, AI-visibility deployment

For a B2B SaaS company shipping the standard GEO playbook:

• Day 1. Kickoff. Confirm the schema deployment list. The answer-page cluster scope. The citation-source primary references.
• Day 2–4. Tier 1-2 schema deployment site-wide.
• Day 5–8. Six answer pages drafted and shipped — definitional + decision-guide format.
• Day 7. Mid-engagement checkpoint. Re-test against the AI engines.
• Day 9–11. BlogPosting.citation arrays added to existing long-form content. Sources sections added.
• Day 12–13. llms.txt deployment + sitemap auto-discovery for new content.
• Day 14. Delivery walkthrough. Citation-share comparison pre vs post.

What doesn't ship in 14 days?

The discipline cuts both ways. Three things explicitly out of scope.

Multi-department transformations. A full sales-department AI rebuild plus marketing automation plus support concierge plus internal operations RAG system isn't one sprint. It's three to five sequenced sprints. Or a Tier 4 enterprise build at custom-quote scope.

Custom model training. Fine-tuning a foundation model on the client's data. Training a custom embedding model. Building a domain-specific reasoning system. These are research-cycle work, not implementation work. We don't run them in sprint cadence — we name them honestly during scoping and either decline or rescope.

Workflows requiring upstream data cleanup. If the client's CRM data is inconsistent. If their PMS has no API. If their content management system doesn't support the structured-data deployment we need. The sprint pauses for the upstream work, or the sprint scope shrinks to what the existing infrastructure supports. We surface this in the free audit before scoping.

How does the sprint compare to the other tiers?

| Shape | Duration | Scope | Doxia Axis tier | |---|---|---|---| | Free audit | 5 business days | Diagnosis only | Tier 0 | | Low-Ticket Entry | 7 business days | One specific fix shipped | Tier 1 | | Mid-Ticket Core (14-day sprint) | 14 business days | One full integration shipped | Tier 2 | | High-Ticket Retainer | Monthly cadence | One workflow / month + ongoing optimization | Tier 3 | | Enterprise Build | 60–120 days | Multi-department transformation | Tier 4 |

The 14-day sprint is the middle rung. Most clients enter via the free audit. Then ship a Tier 1 7-day fix as proof-of-work. Then commit to a Tier 2 sprint when the first deliverable has shown lift. The Tier 3 retainer compounds the work after the first sprint ships. The Tier 4 enterprise build serves clients whose initial scope is too large to fit in a sprint.

What does the sprint actually guarantee?

Two contractual guarantees on every Tier 2 sprint.

Ship-date guarantee. Live in 14 business days, or $200/day credit on the engagement value applies until shipped. The credit is structured to align operator and contractor incentives. Neither side wants the date to slip.

Scope-fixity guarantee. The scope agreed at kickoff is the scope shipped at day 14. If the operator wants to add work mid-sprint, it gets handled as a separate engagement, not silently bolted on. Scope-creep at fixed price is how every consulting engagement degrades. The sprint structure prevents it explicitly.

The Tier 3 retainer adds an outcome guarantee on top — 30% AI-citation lift in 90 days or month four is free. That guarantee belongs to the retainer, not the sprint. The sprint guarantees ship date and scope fixity, not downstream outcome.

When is a 14-day sprint the wrong shape?

Three cases where we redirect the operator.

The diagnosis isn't yet clear. If the operator doesn't know what to ship, the sprint is premature. The free Tier 0 audit comes first. Run the audit. Get the deliverable list. Sequence the sprints.

The scope genuinely can't fit in 14 days. Some workflows are too complex. Multi-system integrations. Agent stacks with multiple tool calls. Workflows touching regulated data. We name this honestly and propose a Tier 4 build instead.

The operator wants a strategy deck, not a deployed workflow. We don't produce strategy decks. The sprint structure assumes the operator wants something running on their stack at day 14. If they want a roadmap PDF, we are the wrong call.

Where to go next

• The day-by-day deliverable schedule: Sample 14-Day AI Sprint Plan + Risk Register.
• The methodology behind the sprint: /how-we-work walks through both engagement tracks (ladder + enterprise).
• The pricing context: Tier 2 on the pricing ladder.
• The four shipped April 2026 cases — most ran on a 14-day sprint or a 21-day variant: all case studies.
• Or just request the audit: /audit — the 5-business-day diagnostic that scopes the right sprint.