Fligoo AI Services

Forward-Deployed AI Engineering · Enterprise AI in production

Smarter, faster, bolder.

Fligoo embeds senior AI engineers with the teams running global enterprises — forward-deployed, not subcontracted — to turn data into measurable outcomes at production scale.

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The capability

Predict. Act. Deliver.

Three layers that most of the market ships separately — and that Fligoo ships as one capability.

  • 01 · SharpAI

    Predict

    Foundational + downstream models running in production since 2022 across credit, attrition, propensity, default, churn.

  • 02 · AUTONOMY

    Act

    Specialized agents that take the score and execute — open the ticket, draft the outreach, complete the transaction, log the outcome.

  • 03 · FDE

    Deliver

    Forward-deployed engineers who sit with your team end-to-end — through scoping, shipping, and the operation after.

Vendors ship models. Tooling companies ship agents. Consultancies ship slides. Fligoo ships the closed loop.

Models in production247
Decisions · last 24h2.40B
P95 latency47ms
Drift checks passed99.97%

Outcomes our clients have measured.

  • 92%

    Holdout performance on investor attrition prediction

  • +44%

    Premium credit card response in a top 10 NA bank

  • +98%

    Lead-to-customer conversion lift, global insurer

  • $4.3B

    Mid- and high-risk retention opportunity identified

Two ways to work with Fligoo

A forward-deployed engineering arm and a platform — built to reinforce each other.

Fligoo operates as two complementary businesses. AI Services is our forward-deployed engineering arm — senior engineers who embed with your team to ship strategy, data, models, and production. Fligoo SharpAI is our enterprise AI platform — the predictive, generative, and agentic tools that run inside it. Together they ship the closed loop from data to decision.

Services on its own ships projects. SharpAI on its own ships features. Combined, they ship outcomes.

The model behind AI Services · Forward-Deployed Engineering

The Trifecta

SharpAI + AUTONOMY + FDE — the closed loop from data to outcome.

Predictive AI alone is a recommendation. Agents alone are theatre. Engineers alone are a consultancy. The combination — predictive intelligence plus autonomous execution plus forward-deployed delivery — is what moves the line in the P&L. Each layer is built so the next one can do its job.

Predict · Fligoo SharpAI

SharpAI

The predictive foundation.

Foundational models pre-trained across regulated verticals, with downstream heads tuned to each client's schema and policy. Credit scoring, attrition, propensity, default, churn, profitability — every score carries an explainability surface and lineage.

  • Foundational + downstream architecture
  • Federated learning where data can't leave
  • SHAP / LIME / counterfactual explainability on every output
  • MLflow + model registry + dataset lineage

→ Feeds AUTONOMY with the score and the why.

Act · AUTONOMY

AUTONOMY

The autonomous execution layer.

Specialized agents — not a generic assistant — take each score and execute. Open tickets, draft outreach across SMS/email/WhatsApp/voice, route through CRM, escalate on policy threshold, log the audit trail. Multi-agent orchestration where the work crosses functions.

  • Scoped agents with allow-listed tools and channels
  • Human-in-the-loop thresholds + dry-run modes
  • Multi-agent orchestration with handoff + audit
  • Per-agent KPIs in business terms, not token counts

→ Feeds FDE with telemetry the engineers tune to.

Deliver · Forward-Deployed Engineering

FDE

The senior engineers who ship it.

Forward-deployed engineers embedded with your team — accountable from scope through production and the operation that follows. They translate business problems into shipped models, govern the data underneath, and stay through ops. No layered teams. No handoffs over the wall.

  • Senior engineers, not subcontracted juniors
  • Embedded with the client team through production
  • Industry-specific track record in regulated environments
  • Same team end to end — scope, ship, operate

→ Closes the loop back into SharpAI with new data, new signal, new models.

Why the trifecta beats any axis alone.

  • SharpAI without AUTONOMY

    A score sits in a dashboard waiting for a human to act. The 72-hour retention window closes. The cross-sell opportunity goes cold.

  • AUTONOMY without SharpAI

    Agents take action on weak signal. Without months of behavioral data behind them, they're guessing — and guessing at scale is how brands lose trust.

  • Either without FDE

    Platforms get installed, not integrated. Models drift. Agents misbehave. The closed loop opens.

  • All three

    Highest measured conversion in market for collections, retention, profitability, and cross-sell — because every agent acts on the right score, and the right score is tuned by the team that shipped it.

Inside Fligoo SharpAI

The tools that run inside the platform.

Four interlocking tools take enterprises from raw data to autonomous action — predictive foundations, agentic execution, omnichannel orchestration, and the data plumbing underneath.

AUTONOMY

Specialized AI agents that take real action across the enterprise.

Multi-agent platform that fuses Fligoo predictive models with autonomous execution. Agents take action on every score — collections, retention, supply chain, fraud — with full governance, explainability, and audit.

  • 30+ specialized agents across collections, retention, supply chain, fraud
  • Multi-agent orchestration with policy and audit
  • Predict → Decide → Act closed loop
  • Integrated with the systems already running the business

PracticeAI

Enterprise AI for wealth management and financial advisors.

A technology-powered solution that gives advisors and their managers customized, intelligent recommendations to retain and engage investors — driving wallet share, predicting attrition, and protecting AUM.

  • Investor attrition prediction with months of anticipation
  • Advisor and broker performance benchmarking
  • Next best action and personalized offers
  • Customer loyalty and satisfaction scoring

AI Orchestrator

Omnichannel campaigns triggered by AI insight.

Executes sophisticated multi-channel communication campaigns — across SMS, email, WhatsApp, RCS, and call centers — with channel, sequence, and content selected per customer for sales lift, retention, collections, and engagement.

  • Sales optimization with personalized content
  • Attrition reduction via targeted retention plays
  • Collections maximization with cost-aware contact strategy
  • Omnichannel routing tuned to each customer profile

DataMoveX

Data movement and preparation for production AI.

Automates data extraction, cleansing, normalization, and integration so that Fligoo models reach production faster — replacing manual, error-prone pipelines with a controlled, secure, and scalable process.

  • Automated extraction, cleansing, and normalization
  • Pre-built connectors for leading data platforms
  • Data quality assessment and lineage tracking
  • Governance, integrity, and discard rules built in

Platform

Architecture built for enterprise scrutiny.

Foundational models pre-trained across verticals, downstream fine-tuning to client schema, federated learning for sensitive data, and explainability surfaced on every recommendation.

Inside the platform
  • Foundational + downstream

    General-purpose models trained across industries; client-specific heads layered on top.

  • Federated learning

    Train across data sources without raw data ever leaving the client environment.

  • Explainability

    SHAP, LIME, and counterfactual analysis attached to every score and recommendation.

  • Guardrails

    Schema validation, drift detection, fairness checks, and audit logging across the lifecycle.

Integrations

Plugged into the systems that already run the business.

We meet enterprise data where it lives — through API, secure file transfer, direct database, and cloud buckets. Models then push outputs back into CRM, core banking, call center, and digital channels.

Recognition

Built for the enterprises that don't tolerate guesswork.

We don't disclose client names. The descriptors and numbers below are real, and measured against each client's prior approach.

Operates inside the platforms enterprise teams already trust.

  • AWS
  • Snowflake
  • BigQuery
  • Redshift
  • Salesforce
  • Kubernetes
  • Airflow
  • MLflow

Industries

Trusted across regulated, data-heavy sectors.

Banking, wealth management, insurance, retirement, retail, telecommunications, FMCG, energy, and automotive.

Industry deployments
  • Banking
  • Wealth Management
  • Insurance
  • Retirement
  • Retail
  • Telecommunications
  • FMCG
  • Energy
  • Automotive

Cases

Selected results, anonymized.

We don't disclose client names. The numbers below are real and measured against each client's prior approach.

See all cases

Security and trust

Engineered for regulated environments.

JWT and MFA-backed access, RBAC, end-to-end encryption, SOC 2 / GDPR alignment, federated learning, and explainability and audit logging on every recommendation.

Security architecture

Ready to make AI a measurable line in your P&L?

We design, deploy, and operate enterprise AI alongside your team.

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Fligoo AI Services — Enterprise AI, in production.