Avoiding the temporary finance stack
Early-stage companies often start with manual exports and a collection of spreadsheets, then replace the whole setup when reporting gets more complex.
Taito.ai wanted a stronger foundation from the start. As an AI-powered HR platform, it needed a clear view of both revenue and LLM costs—not only for reporting, but for pricing and product decisions.
- Accounting, billing, and model costs lived in different places
- Manual assembly would make margins harder to trust
- Board reporting needed the same source of truth as daily decisions
Connected data instead of a spreadsheet workaround
Taito.ai connected its accounting data to Control and used CSV import for data outside the ledger. Revenue and costs now land in one reporting layer, with no recurring export cycle to maintain.
That gives the team three things from the same foundation:
- Current reporting: operational and board views use the latest connected data
- Cost visibility: LLM costs can be assessed alongside revenue and margins
- Room to grow: the consolidation layer is ready when new legal entities are added
The team can also query its financial data through the MCP integration, bringing the same structured numbers into the AI tools it already uses.
One source for daily and board-level reporting
Taito.ai now runs financial reporting without a dedicated finance hire. The same data supports everyday decisions and board updates, instead of being assembled again for each audience.
What's interesting about Control is bringing automation to traditionally very manual tasks. In larger companies, you need a whole team for this.
Juho Eräste, CTO, Taito.ai
Taito.ai skipped the disposable spreadsheet phase. Its finance setup can grow with the company instead of becoming the next system that needs to be replaced.