AI Consulting
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.
Schedule a Discovery Call →We build it, deploy it, and train your team on it. Adoption is part of the engagement, which is why the timeline doesn't end at launch.
We shadow your team for a week: sitting in meetings, watching workflows, and asking why each step exists.
We map every inefficiency and rank them by ROI: what saves the most time and money, and what is easiest to automate.
We build custom AI tools (internal copilots, automation pipelines, smart dashboards) tailored to your exact workflows.
We train your team, monitor adoption, and iterate until people use the tools without prompting. Then we hand over ownership.
From a single audit to a full build. Each is scoped and quoted as its own project, with or without a Growthr retainer.
A focused engagement to identify your highest-value AI opportunities and build a roadmap.
End-to-end design and development of AI-powered internal tools built for your exact needs.
Make sure your brand shows up across AI search engines, chatbots, and discovery platforms.
Each scoped and quoted as its own project. Each started as a bottleneck we watched someone work around during a discovery week.
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.
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.
Consolidates user feedback, support tickets, and app-store reviews into one stream, then surfaces the recurring issues worth fixing and the positives worth amplifying.
Builds user archetypes and demographic profiles from first-party data, which feed straight back into messaging, creative, and ad targeting.
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.
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.
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.
Book a 30-minute discovery call: a conversation about what's slowing you down and what we'd build first.