Stop renting your platform. We replace it block by block — each block proven in parallel and reconciled to zero before it ever touches a client statement. Every block you sign off is a fee you stop paying. What's left is a system you own.
Capability transfer
AI can generate code faster than any team can review it — which is exactly why unreviewed AI output is a liability, not an asset. r.team's method builds deliberate friction into every AI-assisted change: your engineers specify intent, challenge the output, trace every calculation to a documented convention, and sign what ships. The result is software that is sounder, better documented, less expensive to run, and easier to maintain than anything a vendor will rent you.
Your staff learns to interrogate AI output the way an auditor interrogates a ledger: what convention does this implement, what does it match, what did it silently change? Every deliberate divergence from legacy behavior is a signed decision, never a silent one.
Review gates, recurrence checks, and a rule of two — no component reaches production with only one person who understands it. The friction is the quality control.
Every agent, calculation convention, and integration is recorded in the knowledge graph with an owner, a backup, and a change history. Your runbook is written by your operators in their own words — and cold-tested by someone who didn't write it.
The engagement ends when your team ships a change, resolves an incident, onboards a new hire in five days, and closes a quarter — without us. Our access is revocable at will. That fact is the product.
From week one, your operators run the system while we watch — not the reverse.
For three decades, financial-services firms rented their core systems — per-account fees, maintenance contracts, and professional-services charges paid to vendors whose business model depends on permanent dependency.
AI-assisted development has collapsed the cost of building and, more importantly, maintaining custom systems. A small operations team can now sustain what once required a vendor's entire development organization. The forward-deployed engineer model — expert engineers embedded with the client, building on the client's own infrastructure — has moved from frontier AI labs into mainstream enterprise practice.
The differentiator is no longer who has the software. It's who owns it, who understands it, and who can change it tomorrow morning without filing a vendor ticket.
AI-assisted development has cut the cost of building custom enterprise software by an order of magnitude.
Forward-deployed engineering is among the fastest-growing engineering deployment models in enterprise software.
Per-account platform fees compound annually; owned infrastructure costs decline with scale.
Trust accounting core
Every engagement starts from proven foundation blocks that implement the conventions legacy platforms took decades to accumulate — so the parallel run reconciles against real fiduciary behavior, not a prototype.
Lock a statement cycle's data at cut-off so reprints, audits, and regulator requests reproduce exactly what the client received.
Interest and dividend accruals with day-count and convention parity, plus as-of transaction processing that correctly restates affected balances, accruals, and fees.
Custodial feed ingestion, position and cash reconciliation against the custodian, and corporate-action processing.
Tiered schedules, prorations, minimums, and split fees, reconciled to the penny against the legacy fee cycle.
Dual cash-bucket tracking for fiduciary accounts, with income sweeps and distributions.
Lot-level cost basis with configurable relief order and full disposition history.
Multi-source pricing with fallback rules and stale-price handling, matched to the legacy hierarchy during validation.
Statement-level totals with rounding parity, plus examiner- and audit-ready output.
Every foundation block carries its own parity specification — the documented legacy behavior it matches, and the signed decisions where it deliberately improves on it. How validation works →
Products
Stackable product blocks that sit alongside your migration — interoperable, independently deployable, and designed by people who have operated these systems in production.
Build autonomous AI agents for overnight reconciliation, fee monitoring, exception surveillance, and migration workflows — with full audit trails and human-in-the-loop approvals.
Explore Agent Studio →Talk to your trust accounting system in plain English. Query accounts, positions, fees, and transactions without navigating legacy prompt-response terminals.
Explore NLI →Every relationship across accounts, entities, fees, and beneficiaries — visible at last. A graph intelligence layer for smart wealth accounts.
Explore Knowledge Graph →Technology decisions in wealth management are fiduciary decisions. r.team's independent review services help firms prove they have examined the vendors, systems, and controls their clients depend on — before an examiner or incident does.
Start with a parallel-run assessment — or talk through foundation blocks, products, and client protection reviews for your firm.
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