Stop stitching systems. Start running a governed, AI-driven finance platform.
CTOs often inherit a "Frankenstein" architecture across finance a mix of isolated ERPs, CRMs and custom spreadsheets held together by fragile scripts.
Decentralized data living in silos makes unified reporting impossible.
API changes or schema updates in upstream systems cause downstream reporting failures.
No one wants to maintain them, but engineering spends too much time fixing instead of building.
75% of Finance Engineering time is spent on Data Cleaning & Maintenance rather than innovation.
From managing technical complexity to powering business intelligence.
Combine AR/AP, Treasury and Consolidation into one platform. Stop syncing databases across isolated microservices.
Eliminate ETL overhead. MiWa's engine handles validation and enrichment natively, making data usable the second it arrives.
Centralized role-based access and maker-checker workflows are built into the core, not bolted on via third-party IAM.
Platform components designed for scale and security.
Native adapters for ERP (NetSuite, Oracle), CRM (Salesforce), Banking APIs and legacy flat files (SFTP/S3). Zero-code connectivity with high-throughout ingestion.
Contextualization engine that validates and enriches incoming data. Includes built-in version control and immutable audit logs for every transformation.
A strictly controlled AI layer that acts as a query interface. No data is sent to external LLM training sets; intelligence stays within your VPC.
"Governance isn't an afterthought; it's the core of the platform."
Native SAML/OIDC integration. Control access at the entity, user, or report level.
Dual-approval workflows for critical financial changes and system configuration.
Immutable logs of every data touchpoint, login and query for SOC2/ISO compliance.
Automatic redaction of PII. Encryption at rest (AES-256) and in transit (TLS 1.3).
By removing the repetitive maintenance of finance infrastructure, you reclaim the team's most valuable asset: Focus.
Focus on designing systems that scale with growth, not patching connections that break with growth.
Deploy high-value business capabilities faster instead of fighting fire in data pipelines.
*Based on average engineering team reallocation after MiWa deployment in enterprise environments.
Join the CTOs shifting their engineering teams from support functions to strategic drivers.
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