One week inside your company.
Then we build what's missing.
We spend a week inside your company: shadowing teams, mapping workflows, and finding the exact bottlenecks where AI saves real time and money. Then we build it, deploy it, and train your team on it. Every build is scoped and quoted as its own project, with or without a Growthr retainer.
The EngagementQuoted per project
Builds ShippedPer project
Ask Your DataYour numbersWho this is for
For teams with a repeated workflow, people who can explain its exceptions, and permission to use the required data. The discovery week identifies the task, the acceptance criteria, and the person who will own the finished tool.
Custom AI and engineering builds are quoted after scope. Analytics, attribution, CRM scoring, data pipelines, dashboards, and reporting for an embedded growth engagement remain included in the retainer.
Bring sample inputs, the current process, and the systems the build must connect to. We can scope a standalone project or work alongside an existing growth engagement.
Built from a week of watching,
not from a slide deck.
Most AI consulting starts with a workshop and ends with a roadmap nobody builds. Ours starts inside your workflows, ranks what is worth automating by what it saves, and ends when your team uses the tool without prompting.
Embed and observe
One week, on-site or remote, sitting in your meetings and watching the work get done. We ask why each step exists and note every place someone works around a missing tool, re-keys a number, or waits on an export.
Map by ROI
Every inefficiency goes on one map, ranked by what it costs in time and money and by how easy it is to automate. The top of that list becomes the first build, so the first project pays for itself before the second is scoped.
Build and train
We build the tool around your exact workflow, deploy it into the systems you already run, and train the people who will use it. Adoption is part of the engagement: we monitor usage, iterate, and hand over ownership with documentation.
From observation
to operational AI.
We build it, deploy it, and train your team on it. Adoption is part of the engagement, which is why the timeline does not end at launch.
Embed and observe
We shadow your team for a week: sitting in meetings, watching workflows, and asking why each step exists.
Map and prioritize
We map every inefficiency and rank them by ROI: what saves the most time and money, and what is easiest to automate. You get the report, the prioritized roadmap, and a quote for the first build.
Build and deploy
We build custom AI tools (internal copilots, automation pipelines, smart dashboards) tailored to your exact workflows, wired to your data through API integrations and pipelines.
Train and optimize
We train your team, monitor adoption, and iterate until people use the tools without prompting. Then we hand over ownership.
Three ways
to work with us.
From a single audit to a full build. Each is scoped and quoted as its own project, with or without a Growthr retainer.
AI Consulting
A focused engagement to identify your highest-value AI opportunities and build a roadmap.
- 1-week on-site or remote audit
- Workflow mapping and inefficiency report
- Prioritized AI opportunity roadmap
- Executive presentation and recommendations
Custom AI Products
End-to-end design and development of AI-powered internal tools built for your exact needs.
- Everything in AI Consulting
- Custom tool design and development
- API integrations and data pipelines
- Internal copilots and automation workflows
- Team training and handoff documentation
LLM Optimization
Make sure your brand shows up across AI search engines, chatbots, and discovery platforms.
- AI search presence audit
- Content optimization for LLMs
- Structured data and schema strategy
- Ongoing monitoring and reporting
Builds we've shipped
for clients.
Each scoped and quoted as its own project. Each started as a bottleneck we watched someone work around during a discovery week.
Custom data dashboards
One dashboard that pulls in every source a client runs on (ad platforms, analytics, CRM, revenue) so the whole team reads the same numbers and decisions stop waiting on a weekly export.
Chat with your data
Custom chatbots wired to a client's own data so anyone on the team can ask a plain-language question and get an answer grounded in their numbers, not a generic model's guess.
Feedback and review mining
Consolidates user feedback, support tickets, and app-store reviews into one stream, then surfaces the recurring issues worth fixing and the positives worth amplifying.
Audience archetypes
Builds user archetypes and demographic profiles from first-party data, which feed straight back into messaging, creative, and ad targeting.
Internal copilots
Assistants that live inside the tools your team already works in and take the repetitive step off their plate, built around the exact workflow we watched during the discovery week.
Automation pipelines
API integrations and data pipelines that move data between the systems you run on without anyone re-keying it, so the weekly export becomes an automatic feed.
What every build
starts with.
The shape of the engagement, and the data behind it.
Quoted per project.
No retainer required.
Custom AI and engineering work is quoted per project after the discovery week, so the price reflects the build in front of you and nothing else. It can attach to an existing embedded growth engagement (the retainer is $10,000 per month plus a flat 10% of managed media spend) or run on its own with no retainer. Every Growthr price is on the pricing page, and the rest of what we do is on the services page.
Timeline, pricing,
and what we build.
How long does an AI consulting engagement take?
The audit is one week, on-site or remote, spent shadowing teams and mapping workflows. The build is then scoped and quoted as its own project, and training and optimization continue after launch until the team uses the tools without prompting.
Is AI consulting included in the Growthr retainer?
No. AI, data, and engineering work is quoted per project. It can attach to an existing embedded growth engagement or run on its own with no retainer, and it's kept modular so you only pay for it when there's a specific problem worth pointing it at.
What does Growthr build?
Custom dashboards that pull every data source you run on into one view, chatbots wired to your own data, feedback and review mining across tickets and app-store reviews, and audience archetype modeling from first-party data. Each is built around your existing workflows and handed over with training and documentation.
Is the discovery week on-site or remote?
Either. The one-week audit runs on-site or remote, and in both cases the work is the same: sitting in your meetings, watching workflows, and asking why each step exists. It ends with a workflow map, an inefficiency report ranked by ROI, a prioritized AI opportunity roadmap, and an executive presentation with recommendations.
What happens after the build launches?
Training and optimization continue after launch. Growthr trains the team, monitors adoption, and iterates on the tool until people use it without prompting, then hands over ownership with handoff documentation. Adoption is part of the engagement, not a separate line item.
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Find out where AI fits
in your business.
Book a 30-minute discovery call: a conversation about what's slowing you down and what we'd build first.
