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// altascio.ai — intelligence at work

— Altascio AI

The production layer for —Enterprise AI.

We build, deploy, and govern AI systems that transform how businesses operate — intelligent automation, enterprise-grade applications, and agent systems that move AI from pilot to P&L.

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— What We Do

Three Practices.
One Intelligent Foundation.

Altascio operates across three interconnected domains — each distinct in focus, unified in purpose: making AI work reliably for business.

Applied AI

Production AI engagements

We partner with enterprises to design, build, and deploy AI systems that solve real operational problems — outcome-driven, production-ready, and built for your context.

AI StrategyAgent DevelopmentEnterprise IntegrationCustom AI Systems
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Applications

Purpose-built AI products

Copilots, knowledge assistants, and customer-facing agents built from the model out — with retrieval, evals, and safety rails built in from line one.

CopilotsKnowledge AIAgentsProduction RAG
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Agentic OS

The operating layer for agents

Multi-agent orchestration, MCP-based tool integration, evaluated long-running workflows, and the observability to actually run them in production.

OrchestrationDurable ExecutionMCP ToolsGovernance
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— Why Altascio

Built for enterprises that need
AI in production — not in pilots.

01

Outcome-priced engagements

We tie our success to yours. Engagements are measured in business outcomes, not hours billed.

02

Production-first delivery

Every engagement ends with code your team owns, running in your environment. No black boxes, no lock-in.

03

Embedded delivery pods

Senior engineers and architects who work alongside your teams, transferring capability as they ship.

04

Governance built-in

Evals, audit logs, access controls, and observability are part of every system from day one — not retrofitted.


— Real Deployments

What "in production" looks like.

Healthcare

Clinical Data Normalization & Care Continuity

A regional health network struggled with fragmented patient records across disparate EHR systems, causing critical gaps in care continuity and clinical decision-making.

94%
Reduction in data recon errors
Healthcare

AI-Driven Patient Risk Stratification & Triage

A managed care organization needed to proactively identify high-risk patients across chronic disease populations before acute events triggered costly interventions.

41%
Reduced acute admissions
Healthcare

Context-Aware Patient Engagement & Notifications

A multi-site ambulatory network was losing patients to disengagement and missed follow-ups due to generic, poorly timed outreach that failed to reflect individual care context.

58%
Increase in patient response rates
Healthcare

Predictive Risk Modeling for Geriatric Fall Prevention

A post-acute and long-term care provider needed to move beyond reactive fall incident reporting toward predictive identification of residents at imminent fall risk.

52%
Reduction in fall-related incidents
Manufacturing

Enterprise Knowledge Platform for Engineering & Operations

A global manufacturer was losing critical operational knowledge to workforce attrition and document sprawl — slowing engineering decisions and increasing shop floor errors.

73%
Faster resolution of queries
Defense

AI-Powered Contract Intelligence & Risk Analysis

A defense contractor managing a large federal contract portfolio needed to accelerate obligation reviews, identify compliance risks, and reduce reliance on senior legal staff.

79%
Increased response cycle
Facilities Management

Utility Spend Optimization & Predictive Cost Allocation

A national property management firm was losing recoverable utility revenue due to inaccurate cost allocations, billing disputes, and inability to forecast consumption variance.

31%
Improvement in utility cost recovery
Facilities Management

Financial Reconciliation & Anomaly Detection

A large facilities services organization was experiencing revenue leakage and audit exposure due to manual reconciliation unable to keep pace with transaction volume.

91%
Reduced billing anomalies
Facilities Management

AI-Powered Waste Prediction & Net Zero Operational Intelligence

A government and military canteen operator needed to eliminate food and energy wastage across high-security establishments and generate daily intelligence toward net zero targets.

38%
Reduction in food & energy waste
Facilities Management

Dynamic Demand Forecasting & Procurement Optimisation

A facilities management company operating large-scale catering operations was over-purchasing raw materials against poorly estimated demand — driving up costs and spoilage.

43%
Reduction in raw material waste

— Outcomes we deliver

Eight ways we take AI to production.

From strategic consulting to managed operations — every engagement is outcome-driven, production-ready, and built for your context.

Talk to an expert
CON-STD
Consulting
Strategic Consulting
4–12 weeks
End-to-end advisory covering business strategy, operating model design, and capability uplift.
8Archetypes8Projects
SER-TRN
Services
Training & Enablement
1–6 weeks
Structured training programmes for platform adoption, process change, and technical upskilling.
5Archetypes6Projects
PRD-PLT
Products
Platform Licensing
Ongoing
Subscription access to Altascio platform modules — Mosaic, Decision Studio, Workforce Intelligence.
6Archetypes18Projects
CON-AUD
Consulting
Technology Audit
2–4 weeks
Structured technology landscape review covering architecture, security posture, and digital maturity.
0Archetypes2Projects
CON-STD
Consulting
Strategic Consulting
4–12 weeks
End-to-end advisory covering business strategy, operating model design, and capability uplift.
8Archetypes8Projects
SER-TRN
Services
Training & Enablement
1–6 weeks
Structured training programmes for platform adoption, process change, and technical upskilling.
5Archetypes6Projects
PRD-PLT
Products
Platform Licensing
Ongoing
Subscription access to Altascio platform modules — Mosaic, Decision Studio, Workforce Intelligence.
6Archetypes18Projects
CON-AUD
Consulting
Technology Audit
2–4 weeks
Structured technology landscape review covering architecture, security posture, and digital maturity.
0Archetypes2Projects
SER-IMP
Services
Managed Implementation
8–24 weeks
Full-lifecycle software delivery including discovery, architecture, build, testing, and go-live.
9Archetypes12Projects
PLT-AI
Platform
AI & Automation Advisory
2–14 weeks
Rapid AI readiness assessments, agent design sprints, and automation roadmaps.
7Archetypes5Projects
DAT-ANL
Services
Data & Analytics Services
2–16 weeks
End-to-end data and analytics engagements covering lakehouse foundations and BI modernisation.
6Archetypes0Projects
SUP-OPS
Services
Managed Support & Ops
Ongoing
Managed support covering application managed services, hypercare, SRE retainers, and health audits.
5Archetypes0Projects
SER-IMP
Services
Managed Implementation
8–24 weeks
Full-lifecycle software delivery including discovery, architecture, build, testing, and go-live.
9Archetypes12Projects
PLT-AI
Platform
AI & Automation Advisory
2–14 weeks
Rapid AI readiness assessments, agent design sprints, and automation roadmaps.
7Archetypes5Projects
DAT-ANL
Services
Data & Analytics Services
2–16 weeks
End-to-end data and analytics engagements covering lakehouse foundations and BI modernisation.
6Archetypes0Projects
SUP-OPS
Services
Managed Support & Ops
Ongoing
Managed support covering application managed services, hypercare, SRE retainers, and health audits.
5Archetypes0Projects