Know where AI is worth building before you spend on it.
We map your product, users, data, and metrics to find the few AI opportunities with a credible path to return. You leave with a ranked map, a working concept demo, a build plan, and a clear stop list.
- Opportunity map
- Metric model
- Adoption teardown
- Data readiness
Opportunities
23
9 worth building
Top projected lift
+14%
Trial to paid
Stop list
8
Low return, skip
Projected return by opportunity
Onboarding assistant ranks first
Highest projected return for the lowest build effort. The working concept demo ships with the audit.
Opportunity map
Plenty of AI ideas.
No clear way to pick.
Every product team can name a dozen places AI might fit. A backlog is easy to grow. What is harder is connecting an opportunity to a user behavior, a metric, the data behind it, and a build effort you can defend.
That is what the audit resolves. We separate useful opportunities from attractive distractions, model the assumptions, and prove the strongest path before a quarter disappears into the wrong feature.
We have more AI ideas than we have engineering time. I need to know which one is worth building, and which ones we should stop discussing.
- 60%of companies report minimal revenue and cost gains from AIBCG, 2025
- 30%+of generative AI projects Gartner expected to be abandoned after proof of concept by the end of 2025Gartner prediction, 2024
- 37%of organizations report any positive EBIT contribution from AIMcKinsey, 2026
We turn a long AI backlog into one defensible build decision.
- 01
Opportunity map
Map where AI could change user behavior, then rank each option by return and effort.
Targets prioritization - 02
Metric model
Connect the strongest opportunities to a number you already track and can defend.
Targets ROI clarity - 03
Adoption teardown
Find the screens, steps, and unanswered questions that keep users from returning.
Targets adoption - 04
Data readiness
Check whether your product and data can support the feature before you commit to it.
Targets feasibility - 05
Working concept demo
Make the strongest opportunity tangible so your team can judge the real experience.
Targets confidence - 06
Stop list
Name the ideas to skip and record why they do not earn more product or engineering time.
Targets focus
From open questions to a build decision.
Understand the product and the number.
We study the workflow, the user, the data, and the metric that needs to move.
Days 1-3Map the possible AI moves.
We find where AI could help, then cut the list until every remaining option has a clear job.
Days 4-6Model the return and the risk.
We show the baseline, expected adoption, effect size, effort, and reliability assumptions.
Days 7-9Prove the strongest path.
We build a working concept demo so your team can react to an experience, not a slide.
Days 10-12Hand over the yes and the no.
You get the ranked opportunity map, build sequence, dependencies, projected return, and stop list.
Days 13-14
From open questions to a build decision.
Understand the product and the number.
We study the workflow, the user, the data, and the metric that needs to move.
Map the possible AI moves.
We find where AI could help, then cut the list until every remaining option has a clear job.
Model the return and the risk.
We show the baseline, expected adoption, effect size, effort, and reliability assumptions.
Prove the strongest path.
We build a working concept demo so your team can react to an experience, not a slide.
Hand over the yes and the no.
You get the ranked opportunity map, build sequence, dependencies, projected return, and stop list.
A disciplined method for deciding what to build.
The audit is lighter on tools and heavier on clear assumptions, useful evidence, and product judgment.
- 01Metric-first scopingAn opportunity enters the map only when it connects to a number your team already watches.
- 02Mechanism testWe state what the user will do differently and why that change should move the metric.
- 03Visible assumptionsThe projected range shows its baseline, adoption, effect size, and confidence instead of hiding the math.
- 04Effort and returnEvery option is placed against build effort, dependencies, data readiness, and expected value.
- 05The stop listWe record what to skip and why, because a useful strategy must narrow the work.
- 06Reliability reality checkWe identify where the layer needs sources, fallbacks, evaluation, or human review before launch.
A decision your team can act on in 14 days.
- Ranked opportunity mapThe AI opportunities ordered by projected return, effort, and confidence.
- Projected returnA modeled range tied to a metric your team already tracks.
- Working concept demoA realistic experience that makes the strongest opportunity easy to judge.
- Build planScope, sequence, dependencies, architecture, and the first useful release.
- Stop listThe ideas we recommend skipping, with the reason written down.
- Reliability noteThe data, sources, guardrails, and review points the layer will need.
The 3X Guarantee
We use the audit to find the AI opportunity worth building. If we do not uncover a projected opportunity worth 3X the audit fee, the audit is completely free. If you move forward with the build, we credit the full audit fee toward it.
Clear scope, close collaboration, useful handoff.
The same operating commitments apply whether you start with an audit, a build, a rescue, or growth work.
- Founder inevery engagement
- Senior teamno shared pool
- Fixed scopeprice agreed first
- Weekly reviewshared channel
- Your repodesign files
- Stop anytimeno notice period
- 01Start here
AI Experience Audit
A fixed price, two week audit that finds where AI can move a metric in your product, and where it cannot.
- Ranked AI opportunities
- Projected return by metric
- Adoption and friction review
- 02
AI Experience Build
We build the opportunity your audit proves. Fixed scope, fixed price, same team from strategy through handoff.
- AI experience design
- Production build in your stack
- Guardrails and fallbacks
- 03
AI Growth Sprints
Keep improving the AI layer after launch. Book one sprint at a time when the next improvement is clear.
- Plan against the audit projection
- Evals and live monitoring
- One improvement per sprint
Design the layer people use and agents can understand.
Your buyers use agents to research products, and your users will ask agents to complete work inside them. We design the boundaries, sources, and actions for both sides of that interaction.
Agentic website
A site with clear, machine-readable answers that agents can cite for buyers. Your team keeps approval over what gets published.
yoursite.com/llms.txt- Structured source
- Machine-readable pages
- Review before publish
Agentic application
An agent inside the product that plans and acts with visible steps, clear approval points, and a way to undo the work.
- Planning
- Needs approval
- Completed
- Handed back
Agentic workflows
Agents that run repeatable work behind the product, with checks, logs, and a human checkpoint when a wrong action is expensive.
TriggerAgentReviewSystem of record
Not sure which one you need? The AX Audit covers AI and agentic experience: how people use your AI, and how agents read and act on your product.See the AX Audit
Senior product, design, and engineering in one room.
- 11companies the team has built insideEmployment and contract work, 2019 to today
- 13products shipped to productionCounted, not estimated
- 8industries servedThe same eight on the industries page
- 7+years shipping softwareFounder, first production release to today
- 10+senior designers and engineersEvery one has shipped to production
I've worked with Shahriar since 2021 on various projects, including at my last organization, Agora. When assigning Shahriar a task, I have the utmost confidence as he has been my swiss army knife any time I needed assistance or a task complete. Anybody who has the privilege of working with him will say the same, I promise.
Dennis IvyDeveloper Advocate, PostHogWorked together @TraversyMediaWhere this service does its best work.
A revenue product, a healthcare workflow, and a developer tool need different boundaries. See how the work changes with the context.
Questions your team may ask.
Is this just a strategy deck?
No. You get a ranked opportunity map, a modeled return, a working concept demo, and a plan to ship. The team can use the result in the next planning conversation.
What if the audit says we should not build AI yet?
How can a projection be useful before launch?
How long does the audit take?
What do you need from our team?
What happens after the audit?
Does our product need to be built on AI already?
The audit gives the layer a place to start.
The output is not a strategy deck that ends at recommendations. It points to one feature, one metric, and one build sequence your team can use.
If you continue with us, the same team carries the decision into design and engineering. If the right answer is to wait, we will say that clearly too.
- This serviceAI Experience (AX) AuditKnow where AI is worth building before you spend on it.Opportunity mapMetric modelAdoption teardownData readinessWorking concept demoStop listYou are here
- 02AI Product & UX DesignDesign AI people understand before they decide to trust it.Copilot and assistant designPrompt experienceTrust and confidenceFailure recoveryAI onboardingHuman-in-the-loop flowsExplore service
- 03AI SaaS & MVP DevelopmentBuild the product foundation your AI layer needs.Product strategyMVP experience designProduct architectureFull-stack developmentAI feature engineeringTesting and refinementExplore service
- 04AI Automation & GTM AgentsAutomate the work that slows the team down.Workflow automationAI agentsCRM and GTM operationsSupport automationDocument processingAgentic GTM systemsExplore service
- 05AI Redesign & RescueGive an underused AI feature a better second release.Failure diagnosisAI feature rebuildExperience rescueReliability evaluationSecond releaseAdoption trackingExplore service
- 06AI Discovery & GrowthMake your product easier to find, understand, and choose.AI discovery reviewAnswer monitoringStructured product contentOnboarding and activationConversion and upgrade flowsGrowth feedback loopExplore service
Find the AI opportunity worth building.
In 14 days, get a ranked map, a projected number, a working concept demo, and a clear stop list. If the audit does not find AI worth 3X the fee, you pay nothing.
- NDA from the first conversation.
- Response within 24 hours, guaranteed.
- Founder-led from first call to handoff.
