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Kobanateam
Kobana Team

Stop forecasting in spreadsheets. It's wrong and you know it.

A 60%-accurate forecast becomes 88-92% with Kevin. Idle balances turn into yield. Pix (Brazil's real-time payment system) 24/7 becomes intraday management. All across the 40+ banks you already operate.

A 14% Selic rate changes everything.

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Every R$ 1M sitting in a checking account for 30 days loses R$ 12.5k in yield. Pix 24/7/365 killed the "end of day." An Excel forecast lands at 60% accuracy, and a bad forecast pushes you into emergency credit at Selic + 10 p.p.

  • Spreadsheet forecast: 60% accuracy
  • Agentic forecast: 88-92% over 13 weeks
  • Automated sweep: +25-50% in liquidity optimization
  • Bank fee analysis: 5-15% savings (Trovata case: US$ 700k/year)

Four fronts.

Front 1 — Multi-horizon forecast

13 weeks, 12 months, scenarios (base, upside, stress). Learns your idiosyncratic patterns, explains variances, answers ad-hoc questions.

Front 2 — Automated sweep

Allocation into CDBs, repos, and Tesouro Selic (Brazilian government bonds) within your liquidity policy. Counterparty limits. Optimized maturity curve.

Front 3 — Intraday Pix 24/7

Payment prioritization under stress. Overdraft prevention. Contractual × reputational × regulatory optimization.

Front 4 — Bank fee analysis

Fee mapping across every bank. Non-standard naming normalized. Benchmarking and renegotiation.


Kevin's math at a R$ 500M company.

Projected annual gains

  • Incremental yield from sweep: R$ 3.5-4.5M
  • Fee savings: R$ 100-750k
  • Avoided emergency credit interest: R$ 500k-2M
  • Fraud prevention: R$ 100-500k
  • Total projected: R$ 4-7M/year

Kobana Team Business cost: R$ 90k/year. Payback: ~8 weeks.


Services holding with R$ 1.2B in revenue, 12 entities.

Before

  • 13-week forecast in Excel, ~55% accuracy
  • Weekly sweep, subjective, conservative
  • Reconciliation 5 days after the movement
  • Bank fees never audited

After (12 months with Kevin)

  • Agentic forecast, 91% accuracy
  • Daily, automated sweep
  • Real-time reconciliation
  • R$ 680k/year in renegotiated fees
  • R$ 6.2M/year in incremental yield
  • 2 BEC fraud attempts blocked (R$ 340k protected)

Stack involved

List

  • Kevin (lead agent)
  • Klaudinho (Q&A and consolidation)
  • Open Finance across 40+ banks
  • CNAB 240/400 (Brazilian bank file formats)
  • Pix API real-time
  • B3 / BM&F
  • PTAX Bacen
  • ERPs (SAP, Oracle, TOTVS)

FAQ

Does it work for a seasonal business?+

Yes. The model learns seasonality (Black Friday, harvest, back-to-school, tourism).

Can I configure a custom liquidity policy?+

Yes, all through Kia Brain. Counterparty limits, allowed product types, redemption windows.

Does it replace a TMS (Kyriba, SAP Treasury)?+

It complements. Runs on top as an agentic layer.

Ready to get started?