How far is your business from running on AI?
Most companies bought the tools and are still waiting for the results. The gap is rarely the model. It’s the data, context and workflows underneath it. In one 30-minute call we place you on the five-stage ladder and build your readiness report with you, live.
Trusted by 20,000+ businesses
From scattered data to AI that acts.
Skip the foundation and AI just makes confident mistakes faster. The assessment shows which stage you’re on and what it takes to reach the next.
Fragmented
Data sits across tools and spreadsheets. Every answer is pulled together and checked by hand.
AI has to guess which number is right.
Governed
Every source connected, every metric defined once. Sales and finance finally report the same revenue.
Numbers you can trust.
Contextual
AI knows what you sell, who you sell to, what you’re aiming for and who owns what.
Recommendations that fit how you work.
Orchestrated
Recurring work runs on its own. Reports and alerts land before anyone asks.
Hours back every week.
Autonomous
Agents spot what needs doing and do it. People approve the calls that matter.
Your team scales without new hires.
What we’ll go through in 30 minutes.
One conversation with whoever can answer for the whole business. We walk through six areas and build your readiness snapshot on screen as we go, so you have it before the call ends.
- 1
How answers get found today
When someone asks how the quarter is going, who pulls the numbers, from where, and how long it takes.
- 2
Whether your numbers agree
Whether sales, marketing and finance define revenue, pipeline and churn the same way, and who settles it when they don’t.
- 3
What AI would need to know about you
Your goals, who you sell to and who owns each number, and whether any of it is written down where AI can read it.
- 4
What happens without anyone asking
Which reports and alerts arrive on their own, and which problems wait for the monthly review.
- 5
What AI could act on, with your sign-off
Decisions that follow a pattern, where an agent could take the first step and a person approves.
- 6
Where to start
The one or two changes that would move you up a stage fastest, and what they’d give back.
“I went in expecting someone to try to sell us something. Instead, they helped us figure out where we were, what was holding back our AI initiatives, and which steps would make the biggest difference. That single conversation gave us more clarity than months of working with our previous consultant.”
A consultant’s report, without the consultant’s invoice.
Built during the conversation rather than written up afterwards. A reviewed version follows.
Fragmented
Your stage and score
Where you are on the ladder, and how far through that stage you’ve come.
What AI can take over today
Function by function, based on how you work rather than a generic list.
- 1Define your core metrics onceStart here
- 2Connect performance dataNeeds step 1
- 3Automate weekly reportingNeeds steps 1 and 2
An action plan
What to build first, what has to happen before it, and the order.
Companies already at the top of the ladder.
Teams already running AI on their own governed data, and what it does for them day to day.
“We run 55 agents and 51 skills across 25 brands in 30 markets.” The system opens a task for a person whenever it spots a risk or an opportunity, then checks whether finishing it moved the metric.
László FazakasArcanian Consulting
“Our content system pulls context from our own knowledge base and performance data from Databox.” Changes go live, then get measured over a fixed window before the next decision.
Keith GutierrezModgility
“Our first-party data told us to target a different region than the analytics platform did.” Same model, opposite recommendations, which is why FunnelView grounds its analysis in Databox.
Nian WetsteijnFunnelView
“We built a financial health check on our accounting data through the Databox MCP server.” When data is missing, the report says so instead of guessing.
Manav MehraWagman Digital
Frequently asked questions
No. You get the report either way. If Databox isn’t the right fit for where you are, we’ll tell you on the call.
Most companies aren’t. The report separates what you can automate now from what needs groundwork first, so you know where to start either way.
The report marks the gaps and names who we should talk to next.
An MCP connection moves data. It doesn’t decide which revenue number is the right one. Without governed definitions, the same question gets different answers depending on the day and the tool.
No. Databox is the data and context layer. We build the workflows in Claude, n8n, Make and the tools your team already uses.
The assessment is free. Done-for-you implementation starts at $15,000, scoped to your data and goals, with the Databox platform license included. You get a quote after scoping, not before.
Treated as confidential and used only for the engagement. Databox is SOC 2 certified, and we’ll sign an NDA if you need one.