As a Pattern Partner, OMNYS brings proven success with emerging technologies on AWS, including AI/ML, Generative/Agentic AI, Robotics, Space Technology and Quantum.
The program focuses on accelerating enterprise adoption through repeatable, scalable patterns that encode tested ways to solve specific business problems, with architecture, controls and delivery practices that have already been validated with customers.
For customers, selection of OMNYS into this program signals that AWS has reviewed and endorsed both the outcomes and the operating model behind the work delivered in these domains.
Enterprises that face pressure to modernize critical processes, adopt AI safely and respond to new regulatory and security requirements gain access to patterns that have already delivered measurable results.
Pattern Partners also sets a clear horizon view for emerging technology.
In the near term it concentrates on AI/ML, Generative and Agentic AI patterns, including sub domains such as Process to Agent (P2A), Agent to Agent (A2A), Responsible AI and RegAI.
Over the midterm the program extends these capabilities into connected environments that use Robotics, IoT and Edge and Space Technology on AWS.
For the long term it explores Quantum and next generation enterprise innovations, aligning new capabilities with existing AWS investments in data, AI and security as they mature into reliable patterns.
OMNYS has developed Omnyscient AI, an end-to-end platform implementing the following patterns:
At the heart of the participation of OMNYS in Pattern Partners is a flagship pattern that the company is co-developing and scaling with AWS.
The customer problem
A number of industries, including manufacturing, telecommunications and media, and healthcare, face a common set of challenges. Data and workflows sit in disconnected systems, which slows AI adoption and creates duplicated effort.
Teams find it difficult to govern AI models and agents at enterprise scale, especially when regulations and internal standards move quickly. Talent and process gaps make it hard to adopt new technology in a way that satisfies risk, compliance and operational leaders.
Our joint approach with AWS
Together with AWS, OMNYS has designed Omnyscient AI. This pattern combines an architecture built natively on AWS using Amazon Bedrock, an operating model with clear roles, runbooks and guardrails for IT, data, security and business teams, and accelerators such as pre built integrations, automations, policies, templates, dashboards and agents.
This pattern is being refined through a time boxed incubation with a set of lighthouse customers. As it matures, it is packaged as a Pattern Package so that more joint customers can adopt it rapidly with consistent results.
Early results
Early adopters are already reporting tangible outcomes from Omnyscient AI. Time to first value often falls below 4 weeks in initial implementations. Customers see reductions of roughly 30 to 70 percent in cycle time for critical workflows once the pattern reaches production. Many teams also report improved accuracy, stronger compliance posture or higher developer and analyst productivity, supported by telemetry from shared dashboards. For example, in a project with a global healthcare company, Omnyscient AI completely eliminated language barriers, reducing the time spent searching for and processing information by 80%. It also improved accuracy and enabled automated task execution across departments while maintaining existing quality and control thresholds. This type of concrete result shapes how the pattern evolves and which use cases are prioritized next. As these results are validated across additional lighthouse customers, the Pattern Package becomes available to AWS field teams globally. This enables customers in new regions and sectors to benefit from the same proven approach without restarting design from the beginning.
How the Pattern Partners program works with customers
When a customer engages OMNYS through the Pattern Partners program, the engagement starts from a proven blueprint, not from scratch. The Pattern Package already encodes successful implementations, including architectures, guardrails and playbooks. Customers receive coordinated support from AWS specialists, the AWS Consulting COE Pattern Partner team and experts from OMNYS across consulting, engineering and product.
The program design supports fast yet responsible experimentation. Customers can move from idea to live pilot while maintaining enterprise grade security, compliance and governance. The pattern also includes a clear path from pilot to scale, so organizations can extend from initial deployments to cross region and multi business unit rollouts with ongoing optimization.
Being part of the AWS Pattern Partners program allows OMNYS to bring emerging AWS capabilities such as Generative AI and Agentic applications to customers earlier.
Guardrails and controls stay clear and well defined. The company can turn its strongest customer successes into repeatable assets that benefit a wider set of organizations. Collaboration with AWS field teams, solution architects and service teams keeps the pattern aligned with the latest platform innovation. OMNYS also contributes back to the broader AWS partner ecosystem by sharing learnings and raising the standard for how emerging technology is adopted.
For customers, this approach reduces risk, increases predictability and accelerates business impact from AWS investments.
Partner perspective
AWS perspective
Next steps
Customers interested in these patterns can speak with OMNYS through this link to review current challenges and identify which patterns are most relevant.
Those that want to explore Process to Agent and/or and KnowledgeOps – RAG in depth or learn how the AWS Pattern Partners program could support their own roadmap can request a focused discovery session. In that conversation, AWS and OMNYS work with stakeholders to map business challenges to the pattern, estimate potential impact and define a practical path to adoption. Together, AWS and OMNYS look forward to turning critical business challenges into repeatable, scalable patterns for growth.
