AUTONOMY
Where prediction becomes execution.
AUTONOMY is the agent platform that fuses Fligoo's predictive AI — the SharpAI foundational and downstream models running across banks, wealth, telco, and retail since 2022 — with autonomous execution. Most enterprise AI platforms do one or the other. The combination is the conversion edge in collections, retention, profitability, and cross-sell.
The moat
Predictive AI plus autonomous execution. Together, not separately.
Some vendors ship predictive models and stop. Others ship a chat agent and call it AI. AUTONOMY is the execution layer that runs on top of Fligoo's foundational models — so an agent acting on a SharpAI score has months of behavioral signal behind every action it takes.
Layer 01
Predictive layer
Foundational and downstream SharpAI models that have been running in production since 2022 — credit scoring, attrition, propensity, profitability, default, churn.
Layer 02
Autonomous layer
Specialized agents that take action — open tickets, route to channels, draft outreach, complete transactions, escalate when policy demands.
Layer 03
The combination
Highest measured conversion in market for collections, retention, profitability, and cross-sell — because the agent acting always has the right score behind it.
The shift
Predict. Decide. Act. Closed loop.
A model that predicts attrition is a recommendation. An agent that opens the retention ticket, drafts the message, schedules the advisor call, and logs the outcome is a system. Most enterprise AI stops at the first. AUTONOMY is built for the second.
Step 01
Predict
SharpAI foundational and downstream models score the question — propensity, churn risk, revenue opportunity, exception flag.
Step 02
Decide
An agent applies policy, context, and a playbook to choose the right action — within the bounds the business has authorized.
Step 03
Act
The agent executes — across CRM, channels, ops tooling — and reports back with the outcome and the audit trail.
Capabilities
Specialized agents, not a single AI assistant.
An agent's value comes from scope. Fligoo Autonomy ships specialized agents tuned to the work, the data, and the policies of a specific function — and orchestrates them where the work crosses boundaries.
Agent 01
Decision agents
Take action on predictive scores from Fligoo SharpAI — open tickets, draft outreach, route to channels, escalate when policy requires.
- CRM
- Channels
- Escalation
Agent 02
Market intelligence agents
Continuously monitor competitor pricing, product launches, news, and consumer sentiment — alerting commercial and supply teams as the market shifts.
- Competitive monitoring
- Pricing
- Sentiment
Agent 03
Customer interaction agents
Hold omnichannel conversations across SMS, email, WhatsApp, voice, and chat — and act on them: book appointments, resolve issues, complete transactions.
- Omnichannel
- Resolution
- Compliance
Agent 04
Process automation agents
Replace manual operational workflows in finance, claims, support, and back-office — reading documents, querying systems, posting transactions, closing tickets.
- RPA + AI
- Documents
- Reconciliation
Agent 05
Internal copilots
Surface AI insight inside the tools your team already uses — Slack, Salesforce, Notion, internal portals — so analytics doesn't sit in a separate dashboard.
- Slack
- Salesforce
- Embedded
Agent 06
Multi-agent orchestration
Coordinate specialized agents on complex, cross-functional jobs — one agent gathers data, another reasons over it, a third executes, a fourth audits.
- Coordination
- Audit
- Cross-function
Architecture
The AUTONOMY stack.
AUTONOMY runs on the same platform as Fligoo AI Services — predictive intelligence is the same. What's added is the layer that turns scores and recommendations into executed work.
Layer 01 · Where intelligence comes from
Predictive foundation
SharpAI foundational and downstream models surface the score, the why, and the recommended action — the input every agent needs to operate responsibly.
Layer 02 · How agents execute
Agent runtime
Each agent is defined by role, scope, allowed tools, and policy — and runs against an isolated context the platform fully audits.
Layer 03 · Where work lands
Tool and channel layer
Pre-built integrations with CRM, communications platforms, data warehouses, ticketing, internal APIs — plus browser-driven actions where no API exists.
Layer 04 · Coordination
Orchestration
Routes work between agents, coordinates handoffs, manages dependencies, escalates to humans when policy thresholds are crossed.
Layer 05 · Safety
Guardrails
Scope enforcement, action allow-lists, dry-run modes, rate limits, and policy compliance gates on every step.
Layer 06 · Measurement
Observability
Every action, prompt, tool call, and outcome logged. Per-agent performance reported in business KPIs, not token counts.
Multi-agent example
Four agents, one decision system.
A Fortune 500 vision-care leader deployed an AUTONOMY multi-agent system to bring real-time pricing intelligence to its commercial operation. Four specialized agents work together — gathering, reasoning, executing, monitoring — under a single audit log.
Agent 01
Agent Analytics
Turns raw market data into actionable insight on competitive moves and price elasticity by region.
Agent 02
Agent LLM
Collects price and product information from competitor sites, distributors, and public sources — continuously and at scale.
Agent 03
Agent Site
Updates prices on commercial surfaces in real time when policy thresholds are met.
Agent 04
Agent Observer
Monitors the market for aggressive competitor moves and emits proactive alerts to commercial and supply teams.
↳ Continuous market intelligence, price agility, and pre-emptive responses to competitive moves — replacing what had been a weekly manual cycle.
Agents at work
Specific agents, specific industries, specific outcomes.
Each agent below is a real or near-production deployment pattern — paired with the SharpAI predictive model that drives it. Outcomes are anonymized but measured against each client's prior approach.
Vertical 01
Supply Chain
From forecast to fulfillment — agents that close the loop between commercial and operations.
Agent
Demand Forecasting Agent
Predicts SKU-region-channel demand at weekly to 14-month horizons; recommends procurement quantities and timing to ops.
↳ 90% min precision · top Brazilian supermarket chain
Agent
Stock-Out Sentinel
Detects emerging stock-out risk from transaction velocity and lead-time variance — opens replenishment tickets before the shortage.
↳ Pre-emptive — replaces post-stockout firefighting
Agent
Replenishment Orchestrator
Recommends order quantity, timing, and source per node — calibrated for service level, working capital, and obsolescence.
↳ Multi-echelon optimization
Agent
Distributor Channel Agent
Predicts the ideal offer per distributor and routes campaign execution; surfaces under-performing accounts to the sales lead.
↳ +21% revenue · top 10 chemical company
Agent
Market Intelligence Agent (multi-agent)
Analytics + LLM + Site + Observer working together — continuous competitor pricing, news, and demand monitoring with proactive alerts.
↳ 300% forecast accuracy · top global beverages
Agent
Trade Promotion Agent
Drafts retailer-specific campaigns, allocates promotional budget across SKUs and accounts, monitors lift in real time.
↳ Replaces manual promo cycles
Agent
Supplier Risk Agent
Monitors supplier financial health, news, and delivery patterns — alerts procurement when risk crosses policy threshold.
↳ Proactive risk surface
Agent
Inventory Optimization Agent
Multi-echelon rebalancing across warehouses and stores — accounting for in-transit, seasonality, and store cluster.
↳ Working-capital efficiency
Vertical 02
Telecommunications
Retention windows close in hours, not weeks. Agents act inside the window, on every channel.
Agent
Portability Retention Agent
Triggered when a customer requests porting out — executes a multi-channel intervention (SMS + advisor call + tailored offer) inside the 72-hour window.
↳ +12% conversion · top 3 LATAM telco
Agent
Churn Prevention Agent
Predicts churn months in advance with sentiment analysis enrichment — opens proactive plays through digital and call center channels.
↳ Sentiment-aware retention
Agent
Collection Optimization Agent
Predicts payment likelihood and best-channel collection per invoice; routes to call center, SMS, or self-service.
↳ 10.7% potential collection lift on 3.8% of invoices · top 5 LATAM telco
Agent
SMB Cross-sell Agent
Predicts product propensity for SMB customers and surfaces the recommendation to the relationship manager.
↳ Lifecycle-aware up-sell
Agent
Customer Resolution Agent
Tier-1 conversational resolution across SMS, email, WhatsApp, voice — escalates to humans when policy or judgment requires.
↳ Omnichannel deflection
Agent
Sentiment Monitoring Agent
Listens across social and call transcripts; surfaces trending issues to ops and CX teams in real time.
↳ Pre-incident detection
Vertical 03
Banking and Retail Banking
Cross-sell, default prevention, and channel optimization — driven by the credit-scoring foundational model.
Agent
Credit Card Cross-sell Agent
Scores every customer for premium credit card propensity; routes the offer to the highest-yield channel — branch, call center, digital.
↳ +44% premium response · top 10 NA bank
Agent
Personal Loan Branch Agent
Surfaces inbound branch visit context to the advisor — pre-approved offers, propensity, prior interactions.
↳ +58% personal loan placement · top 1 LATAM bank
Agent
Default Prevention Agent
Early-warning agent on payment-stress signals; opens recovery plays across communications channels with cost-aware contact strategy.
↳ Pre-emptive collection
Agent
Channel Optimization Agent
Decides per-customer the lowest-cost channel that still converts — collapses contact budget without losing response rate.
↳ −50% contact budget at constant lift · top 10 NA bank
Agent
Onboarding Acceleration Agent
Drives KYC, product activation, and first-90-day engagement — surfaces drop-off risk to the relationship team.
↳ Time-to-revenue compression
Agent
Commercial Banking Lead Agent
Predicts SMB lifecycle and cross-sell readiness for commercial banking — analogous logic to retail consumers.
↳ Lifecycle-aware coverage
Vertical 04
Wealth Management
Predict attrition months in advance — and execute the retention play before the advisor calls.
Agent
Investor Attrition Agent
Predicts significant cash withdrawals, transfers out, and account closures with months of advance warning; opens the retention ticket and drafts the advisor outreach.
↳ 92% holdout · $4.3B retention identified · US wealth firm 8,000+ advisors
Agent
Advisor Attrition Agent
Predicts advisor departure and the AUM at risk; surfaces a retention plan to the regional manager.
↳ $83B AUM at risk identified · top 10 NA bank
Agent
Next Best Investment Agent
Given an investor cash balance, recommends specific investments; given an investment, surfaces the matching investors.
↳ Bidirectional matching
Agent
Securities-Based Loan Agent
Predicts SBL turnover; routes retention plays to the borrower with personalized messaging.
↳ $51M high-risk + $134M mid-risk identified · top US issuer
Agent
Advisor Performance Coach
Surfaces winning patterns across the advisor population to managers; drafts coaching content for under-performers.
↳ +300% engagement on advisor recommendations · US wealth firm 8,000+ advisors
Agent
Suitability and Compliance Agent
Pre-checks every investment recommendation against the client's risk profile and regulatory framework — flags or blocks before submission.
↳ Pre-action compliance
Vertical 05
Insurance and Retirement
Lead conversion, retention, and back-office automation across personal and corporate lines.
Agent
Lead Scoring Agent
Scores prospects on conversion likelihood; routes the highest-yield to outbound; surfaces tailored channel and message.
↳ +98% conversion lift · top 10 global insurer
Agent
Retention Agent
Predicts cancellation in pension and life portfolios; opens pre-emptive retention plays months before the cancellation window.
↳ 7 of 10 retirement closures predicted 90+ days advance · top 5 BR insurer
Agent
Voluntary Plan Up-sell Agent
Predicts up-sell from mandatory to voluntary retirement plans; routes targeted communication to existing plan holders.
↳ $11.17B AUM up/cross-sell identified · top US financial services + insurance
Agent
Claims Triage Agent
Tier-1 claims processing — reads documents, queries policy data, recommends approval/escalation.
↳ Back-office throughput
Agent
Underwriting Assist Agent
Pre-decision risk surface for underwriters — explainable factors, comparable cases, recommended action.
↳ Faster, better-grounded decisions
Where agents fit
Across the functions where work is repetitive, judgment-bounded, and integrable.
Function 01
Sales operations
Lead qualification, scheduling, follow-up cadences, CRM hygiene — applied at the scale and speed the pipeline needs.
Function 02
Customer support
Tier-1 resolution, intelligent routing, post-call summarization, knowledge surfacing — with escalation when policy or judgment demands it.
Function 03
Finance and back-office
Invoice processing, reconciliation, anomaly detection, document extraction — across the operational edge of the business.
Function 04
Supply chain operations
Continuous monitoring, replenishment recommendations, exception alerts, supplier follow-up — keeping the operation responsive.
Function 05
Marketing execution
Campaign drafting, audience scoring, omnichannel orchestration, post-campaign analysis — closing the loop between insight and action.
Function 06
Internal IT and HR
Ticket triage, knowledge-base surfacing, onboarding workflows, policy compliance — embedded where employees already work.
Governance
Autonomy without losing control.
An agent that takes action is an agent that needs governance. AUTONOMY ships with control rails enabled by default — same posture as the rest of the platform.
Scoped permissions
Each agent has an explicit, allow-listed set of tools, data sources, and channels. No implicit access.
Human-in-the-loop
Configurable thresholds force human approval for actions above a policy line — every agent supports approval workflows out of the box.
Full audit log
Every input, prompt, tool call, response, and resulting action is captured with lineage — same registry as model recommendations.
Policy compliance
Pre-action checks against the client's information security policy, regulatory framework, and SLA constraints.
Rollback readiness
Every action that touches a system of record is reversible by design, with a rollback procedure tested and documented.
Performance measurement
Per-agent KPIs in business terms — tickets resolved, revenue protected, hours saved — not generic token or interaction counts.
Outcomes
What agents have delivered.
+21%
Distributor revenue lift via a real-time competitive-pricing agent at a top 10 chemical company.
300%
Forecast accuracy uplift via market-intelligence agents at a top global beverages company.
+12%
Customer retention conversion inside the 72-hour portability window at a top 3 LATAM telecom.
10.7%
Potential collection lift identified by agent-driven prioritization at a top 5 LATAM telecom.
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