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Odoo shows the profitability of one project. The problem is seeing all forty in time to act. Basalt ranks the open portfolio, drafts the extra work nobody turned into a quote, and checks the week’s hours before they reach an invoice.
Where your team’s time goes
01 / 04The portfolio view has to be rebuilt before leaders can see which projects still have room to recover their margin.
Where your team’s time goes
02 / 04The evidence of extra work exists, but it remains disconnected from the commercial step needed to protect the project.
Where your team’s time goes
03 / 04A late correction delays billing and asks project managers to reconstruct where the hours should have gone.
Where your team’s time goes
04 / 04Without a comparable-job view, the next estimate repeats assumptions instead of learning from delivered work.
Examples we can scope around your team’s work, Odoo setup and other tools. Your team reviews the agent’s work and approves the next step.
Workflow 1
Before each project review, someone combines hours, subcontractor costs and remaining work to find the jobs at risk.
What the agent does: Uses Odoo’s project profitability alongside recorded progress and open commitments to prepare a review of projects with cost or scope concerns.
Workflow 2
The client’s “small extra request” becomes several days of work, but nobody turns the email thread into a quote.
What the agent does: Compares logged hours, agreed scope and project messages to identify work outside the original agreement.
Workflow 3
Invoice day becomes a hunt for hours logged against the wrong project or without a sales order.
What the agent does: Compares timesheets with the project and sales order to find hours booked to the wrong place.
No. In the Map phase, we identify all the tools you use to run a specific workflow. We then move into the Deploy phase from there.
No. Your integrator maintains and develops Odoo. Basalt handles the AI layer on top: your workflows across Odoo modules and other software. Basalt works with the integrator where scopes meet.
Most companies have a first workflow in production within the first month. Timelines depend primarily on how quickly a client provides data access and approvals.
We determine the baseline, typically how many hours a workflow takes today, before deployment and compare the same workflow after it’s live. Ultimately, it depends on what we uncovered as your most important goals during the Map phase. We can also track metrics like cost to scale, process adoption, error reduction and qualitative team feedback. This is how we determine the result and ROI.
In 30 minutes, we will see whether it is worth mapping.
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