Portfoliyo approach

Private, sourced, auditable and human approved

AI recommendsHumans decide
01
Private
  • Customer and transaction data stays on firm-controlled infrastructure
  • Only anonymised data reaches a cloud model
02
Sourced
  • Answers grounded in the firm’s own policies, products and documents with clear sourcing for each data point used
03
Auditable
  • A full record of who changed what, and when
  • AI calls distinguished from sources information and clearly marked
04
Human approved
  • AI drafts; people decide
  • Human approval points built into each workflow

PORTFOLIYO SERVICES

We bring the team that implements

ChallengeThe realityHow Portfoliyo fits
Lean change teamsChange capacity is taken up by regulatory and run-the-bank workWe bring engineers and analysts to build; the bank’s team reviews and approves
Few AI skills in houseFew data scientists or AI engineers, and hiring is slowOur specialist engineers build, then train the bank’s staff to run it
Legacy core systemsCore banking, CRM and document stores that don’t talk to each otherWe build around existing systems; processes are always migrated, data stores sometimes
Proof before commitmentBudgets are approved case by case, against a clear paybackEach opportunity is prototyped on the bank’s data before a full build
Sensitive customer dataCustomer and transaction data must stay under the bank’s controlSensitive use cases run on local models; only anonymised data reaches the cloud

Mid-size banks get AI to institutional standards without a large programme or new headcount.

EIGHT WEEKS FROM KICK-OFF TO YOUR TOP AI OPPORTUNITIES

01
Approach 1Diagnostic
  • →Identifies and sizes AI opportunities across core areas, or the ones your firm picks
  • →Sets the target architecture for data, models and integration
  • →Delivers a baseline, prioritised opportunity map and roadmap
Where AI pays back
02
Approach 2Delivery
  • →Portfoliyo delivers specific use cases the firm has already chosen
  • →Prototype on the firm’s data first; build and embed only once it works
  • →Optional run and refine: hosting, support, monitoring and model tuning
Into daily operations
The two routes combine: use cases the diagnostic prioritises can move straight into delivery.
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