Three practices. One standard: systems in production.

AI automation, custom software, and data engineering — scoped, built, and shipped into your operation in weeks. Every engagement ends with a working system, not a slide deck.

01

Automation that removes manual work

AI systems deployed inside your operations — document automation, knowledge assistants, support copilots, and reporting pipelines. Connected to your CRM, ERP, and documents, with human review where it matters.

Fraud detection & risk scoring engines

Real-time transaction scoring that flags anomalies as fraud patterns shift.

KYC/AML & identity verification systems

Automated identity, sanctions, and PEP checks with audit-ready case files.

Lending & credit scoring platforms

Applicant decisioning on your own data and lending policy rules.

Robo-advisory / wealth management platforms

Model-driven portfolio guidance with compliance controls built in.

Insurtech (claims automation & underwriting engines)

Straight-through claims and underwriting that route edge cases to people.

Flagship practice — six productised services below

See the six AI services
02

Custom platforms built around your workflow

Web platforms, client portals, and internal tools engineered end to end — from architecture to production. The AgroPlatforma marketplace and our unified lending portal were built exactly this way.

Payment gateway & processing integrations (card acquiring, orchestration, tokenization)

Card acquiring, routing, and tokenization wired into checkout and ledger.

Digital wallets & neobank platforms

Accounts, balances, and transfers built to banking-grade standards.

Embedded finance / Banking-as-a-Service (BaaS) integrations

Financial products embedded into your platform through provider APIs.

Open banking & account aggregation integrations

Consent-based account and transaction data from connected banks.

BNPL (Buy Now, Pay Later) platforms

Instalment checkout, eligibility, and repayment flows end to end.

Proof: AgroPlatforma & Unified Portal case studies

View case studies
03

Decisions backed by your own data

From pipelines to predictions — we consolidate fragmented data, automate reporting, and build the models that turn your records into forecasts and decisions.

RegTech & tax compliance automation (transaction monitoring, reporting, filing)

Transaction monitoring and regulatory filings generated on schedule.

Treasury management & cash flow forecasting

Consolidated cash positions and forward forecasts from your ledgers.

Expense management, corporate card & personal finance (PFM) analytics

Spend categorised, reconciled, and surfaced as finance analytics.

Invoice factoring, supply chain & trade finance platforms

Ledgers and risk scoring for receivables and trade finance flows.

Subscription billing, revenue recognition & dispute management

Recurring billing, revenue schedules, and disputes kept in sync.

Proof: 8h weekly reporting cut to 12 minutes

View case studies

AI SOLUTIONS — WHAT WE BUILD

Six AI services that reduce cost, automate work, and move faster.

Each service solves a specific operational problem. We scope it, price it, and deliver it in weeks — not quarters. No retainers required to start.

AI WORKFLOW AUDIT

Find exactly where AI will cut the most cost in your operation

We map your current workflow step by step, calculate how much time and money each bottleneck is costing you, and identify the single highest-value automation opportunity. You leave with a concrete recommendation — not a list of options.

  • Understand cost per task before spending on build
  • Ranked shortlist of automation opportunities by ROI
DURATION: 1–2 weeksProcess mapping, cost-per-task analysis, automation ROI sizing

INTERNAL KNOWLEDGE ASSISTANT

Stop losing hours to internal questions your documents already answer

We build an AI that searches your actual company documents — policies, procedures, contracts, guides — and answers questions in seconds. Employees stop asking each other and waiting for replies. New starters get up to speed in days, not weeks.

  • Instant answers from your own documents — cited and accurate
  • New starters productive in days instead of weeks
DURATION: 2–4 weeksDocument ingestion, semantic search, permission-controlled AI assistant

DOCUMENT AUTOMATION

Stop paying people to read and sort documents that AI handles in seconds

We automate the reading, classifying, extracting, and routing of inbound documents — loan applications, contracts, forms, emails. What took your team 4 hours a day takes 4 minutes. Low-confidence documents are flagged for human review; everything else moves automatically.

  • Eliminate 60–80% of manual document handling
  • Structured data extracted and ready for your downstream systems
DURATION: 2–5 weeksPDF extraction, email intake, classification, routing, structured data output

CUSTOMER SUPPORT ASSISTANT

Handle repeat support questions without growing your team

We build an AI that reads the incoming query, pulls the relevant account and policy context, and drafts the reply — ready for your agent to review and send. Resolution time drops. Agents handle more cases with less effort. Escalations go to the right person with full context already loaded.

  • Cut average handle time by 30–50%
  • Consistent replies — no knowledge gaps between agents
DURATION: 2–4 weeksIntent classification, CRM-connected context retrieval, response drafting, escalation routing

REPORTING AND RESEARCH COPILOT

Cut report preparation from hours to minutes

We connect the AI to your data sources — SQL databases, spreadsheets, BI tools, internal systems — and automate the gathering, summarising, and drafting of recurring reports. Weekly reviews, pipeline summaries, compliance reports, and management packs that used to take half a day are ready in minutes.

  • Recurring reports generated automatically on schedule
  • Data pulled from multiple sources and summarised without manual consolidation
DURATION: 2–4 weeksData source connections, scheduled pulls, AI summarisation, first-draft report generation

AI IMPLEMENTATION ADVISORY

Get a clear, costed AI roadmap before committing to a build

We assess your current tools and data, compare the vendor options relevant to your use case, and produce a rollout plan with timeline, cost estimates, and risk considerations. You know exactly what you're building and why before a single line of code is written.

  • Vendor and build recommendations specific to your stack and budget
  • Known timeline, cost range, and risks before you start
DURATION: 1–3 weeksTech stack assessment, vendor comparison, workflow design, risk sizing, rollout plan