Geppetto AI logo: a wooden hand manipulating a geometric neural network within a circular emblem. Geppetto AI

Independent consulting · London, UK

AI & data transformation for organisations that need outcomes, not experiments

Geppetto AI helps boards and delivery teams move from AI ambition to measurable results: strategy, production ML, generative and agentic systems, data foundations, and complex programme leadership—especially in financial services and regulated environments.

Led by Arijit Sircar, Director—22+ years delivering AI, data science and technology programmes, including internal AI consulting and production systems at global institutions.

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Consulting service areas

Engagements span strategy through execution: from C-suite roadmaps to production pipelines, guardrails, and litigation-grade technical analysis.

1. AI strategy & adoption roadmaps

Define where, when and how to adopt AI for business impact—aligned with P&L owners and sponsors.

  • Enterprise AI adoption strategy—benchmarking, capability assessment, strategic pillars
  • AI readiness—data maturity, infrastructure, talent, governance
  • Use case identification and prioritisation—impact vs. effort
  • Vendor and technology evaluation—build vs. buy, partnerships, platform selection
  • Investment business cases—ROI, cost–benefit, board-ready proposals

2. Production data science & machine learning

Design, build and deploy ML that ships—not POCs that stall.

  • Recommender systems—market basket, collaborative and neuro-collaborative approaches
  • Predictive analytics—forecasting, anomaly detection, risk and operations
  • Reinforcement learning and continuous improvement from production feedback
  • Big data analytics—large-scale, distributed approaches
  • MLOps—pipelines, monitoring, versioning, retraining
  • Graph analytics—Neo4j, NetworkX, entity resolution

3. Generative AI & agentic systems

LLM-based systems that go beyond chatbots: autonomous, multi-step reasoning within enterprise constraints.

  • Agentic architecture—multi-agent, tool use, orchestration
  • RAG over proprietary document corpora
  • LLM-powered code analysis across languages
  • Guardrails—safety, filtering, compliance for high-risk deployments
  • GenAI use case evaluation—sustainable value vs. hype

4. Data architecture & engineering

Data foundations that are AI-ready: governed, consolidated, observable.

  • Consolidation and migration—pipelines into Databricks, Snowflake, warehouses
  • Data warehouse design—dimensional modelling, ETL/ELT, quality monitoring
  • Governance and lineage—standards, tracking, dashboards
  • Database architecture—SQL Server, Oracle, Cassandra, cloud-native platforms
  • Platform selection—fit-for-purpose evaluation

5. Technology programme delivery & transformation

End-to-end leadership for complex, multi-workstream programmes—technical depth with delivery discipline.

  • Agile at scale—SAFe, Scrum, PI planning, Scrum-of-Scrums
  • Migration and resilience—data centre, DR, HA, failover
  • Vendor management—multi-region teams and evaluation
  • Cross-functional leadership—matrix teams across regions
  • Executive reporting—steerings, board-ready status

6. Expert advisory & specialist services

Niche advisory combining financial services domain depth, multi-language engineering, and applied AI.

  • IT expert witness and litigation support—code comparison, AI-assisted codebase review
  • AI due diligence—for investment or acquisition
  • Technical interviewing and team-structure assessment
  • Thought leadership—workshops, briefings, research communication
  • Startup technical advisory—architecture, stack, MVP

Selected engagements & background

Recent Geppetto AI client work

  • IT expert — Paul Hastings LLP — software copyright litigation; multi-language code analysis and AI-assisted review.
  • Data & AI programme manager — Kenvue — procurement BOM data consolidation; Databricks pipelines, Power BI quality monitoring.
  • AI guardrails consultant — Noval AI — high-risk educational AI deployments.
  • AI strategy — Northern Trust — Asset Servicing adoption strategy; competitor analysis; agentic AI research prototype.

Prior leadership highlights

  • Senior Principal Data Scientist (Director), BNY Mellon AI Hub — internal AI consulting, production ML, cross-functional pods.
  • Global Delivery Manager, Digital Assets — first G-SIFI digital asset custody platform; scaled agile coordination.
  • Senior programme roles — Corporate Trust resilience, Fed/Treasury programmes (TALF, TARP, SBLF), LoanArc portal delivery.
  • Earlier career — JPMorgan, Goldman Sachs — development and database platforms for trading and corporate trust.

Microsoft Global AI Hackathon — 2nd place globally (55,000 participants). Co-host, AyeAyeAI podcast.

Technical & domain expertise

Stack-agnostic delivery with depth in Python, cloud data platforms, and enterprise integration.

AI / ML
Python, TensorFlow, PyTorch, scikit-learn, NetworkX, Neo4j, Dask, LLM frameworks, RAG, multi-agent orchestration
Data platforms
Databricks, Snowflake, SQL Server, Oracle, Cassandra, Hadoop/Hive, ETL/ELT
Cloud & delivery
AWS, Azure, GCP, Docker, CI/CD, SAFe, Scrum (PSM)
Domains
Corporate trust, asset servicing, digital assets, loans/CLOs, structured products, procurement data, legal/IP technical review

Start a conversation

For contracting enquiries, scoping discussions, or expert advisory, email admin@geppetto.one.

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Official site: https://geppetto.one