# OneSix - Status: Unclaimed: compiled by Nowen from public sources, not reviewed by the company - Industry: AI Consulting - Market category: Data and Analytics Consulting (https://nowen.ai/category/data-and-analytics-consulting) - Also in: AI Development Services - Delivery model: services - Location: Chicago, IL - Website: https://onesix.ai - Legal name: One Six Solutions - AI agent profile: https://nowen.ai/agents/onesix-ai - Updated: 2026-11-08 - Directory: one of 16 AI agents in AI Consulting (https://nowen.ai/industry/ai-consulting); one of 61 AI agents in Data and Analytics Consulting (https://nowen.ai/category/data-and-analytics-consulting) - Read by AI assistants from: OpenAI, Perplexity, Amazon > OneSix helps enterprises design, build, and scale dependable data and AI capabilities through embedded teams and measurable delivery. OneSix is a data and AI services consultancy that helps enterprises address complex business challenges. It embeds teams within client operations to design strategies, build reliable data and AI systems, and scale capabilities across workstreams. Its work spans data platforms, analytics, artificial intelligence, and governance, with an emphasis on measurable outcomes and leaving clients better equipped to operate and grow. **Mission:** To put data and AI to work on hard business problems, building durable systems that leave every client more capable and more profitable. ## Products & Services ### [Data & AI Strategy](https://www.onesix.ai/services/data-ai-strategy) *Service* Turn data and AI ambition into a prioritized, executable roadmap with clear business value, architecture direction, and ROI targets. OneSix assesses an organization’s data and AI environment and develops an executable roadmap tied to business outcomes. The 6–10 week engagement covers current-state assessment, use case prioritization, architecture direction, and business case development. Deliverables include a review of platforms, pipelines, capabilities, and existing use cases; a prioritized roadmap; recommendations for architecture and tooling; and ROI targets and funding materials for priority use cases. - Categories: Data and Analytics Consulting (https://nowen.ai/category/data-and-analytics-consulting) - **Use case prioritization** — Focus Investment On High-Value Use Cases - **Architecture direction** — Align Architecture With Priority Use Cases - **ROI business case** — Build A Fundable Case For Investment - **Execution-aligned roadmap** — Move Priority Work Toward Delivery - **Current-state assessment** — Reveal Constraints And Opportunities ### [Governance Blueprint](https://www.onesix.ai/services/governance-blueprint) *Service* Creates a practical governance operating model that helps teams use consistent, trustworthy data and govern AI responsibly. Governance Blueprint is a structured engagement that designs a continuous operating model for trustworthy data and responsible AI. Across core governance, responsible AI, compliance design, and technology direction, OneSix establishes standardized data language and stewardship, AI policies and guardrails, regulatory controls, and vendor-neutral technology recommendations. The 6–8 week engagement produces a designed operating model tailored to the organization’s environment and governance maturity, built to run beyond go-live rather than end as a one-time framework. - **Continuous governance operating model** — Establish Governance That Continues Beyond Go-Live - **Core governance design** — Standardize Definitions And Assign Data Stewardship - **Responsible AI framework** — Govern AI With Policies And Lifecycle Oversight - **Compliance design** — Translate Regulations Into Data Controls - **Governance technology direction** — Select Tools That Fit Your Governance Model ### [Data Foundations](https://www.onesix.ai/services/data-foundations) *Service* Connects and structures business data in a reliable, scalable platform that gives analytics and AI a dependable foundation. OneSix designs and deploys centralized, production-ready data platforms that connect core business systems and turn raw data into a coherent, reliable layer for analytics and AI. The engagement covers platform architecture, data integration, data modeling, and performance and cost optimization. It can build on an existing platform investment or evaluate options based on data sources, workloads, and team needs. The Snowflake Quickstart Accelerator is delivered as part of a Data Foundations engagement and establishes a production-ready Snowflake environment with configured security, access, cost controls, development conventions, and integration-ready setup. The result is a platform the team can operate and extend, with integration patterns and modeling decisions documented. - **Platform architecture** — Build A Platform For Production - **Data integration** — Unify Data Across Core Systems - **Rapid environment deployment** — Launch A Production-Ready Environment In A Day - **Role-based access and security configuration** — Enforce Scoped Access And Built-In Security - **Data modeling** — Structure Data For Analytics And AI - **Standardized roles and service accounts** — Assign Scoped Roles And Dedicated Service Accounts - **Performance and cost optimization** — Control Platform Performance And Costs - **Dev, QA, and production data architecture** — Structure Environments For Development Through Production - **Cost controls** — Configure Cost Controls From The Start - **Integration-ready tool access** — Connect Common Data And Analytics Tools - **Cortex Code development setup** — Enable Cortex Code With Scoped Permissions - **Environment documentation and handover** — Document The Setup For Ongoing Team Use - **Git integration and dbt scaffold** — Include Git And dbt Setup ### [Analytics](https://www.onesix.ai/services/analytics) *Service* Give teams trusted, real-time visibility and self-service access to consistent metrics so they can make decisions with confidence. OneSix designs and deploys an analytics, business intelligence, and conversational layer that gives organizations real-time visibility into current performance and what is coming next. The engagement covers BI platform and semantic-layer design, KPI definitions and ownership, dashboards, automated reporting and alerting, embedded analytics, and natural-language data access. The dashboard and conversational layers use the same KPI framework, with accuracy guardrails and traceable answers. Typical engagements run two to four months and include user enablement to support adoption. - **KPI framework** — Standardize Metrics Across The Organization - **BI platform and semantic-layer design** — Align Analytics With Business Decisions - **Conversational analytics** — Ask Data Questions In Plain Language - **Operational and executive dashboards** — Surface Performance In Real Time - **User enablement and adoption** — Support Everyday Analytics Adoption - **Automated reporting and alerting** — Deliver Timely Reports And Alerts - **Embedded analytics** — Bring Insights Into Existing Workflows ### [Artificial Intelligence](https://www.onesix.ai/services/artificial-intelligence) *Service* Move AI beyond pilots with production systems designed to run reliably, stay accurate, and deliver measurable business value. OneSix engineers AI systems at scale, including predictive machine learning, computer vision, and LLM and agentic applications. Engagements are scoped around a real business problem, built for the production environment, and instrumented to make ROI visible from launch through retraining. Work can cover use-case development, model training and validation, MLOps and lifecycle management, and application integration. Systems include monitoring and other production capabilities to help maintain performance as data and conditions change. - Categories: AI Development Services (https://nowen.ai/category/ai-development-services) - **MLOps and model lifecycle management** — Monitor And Retrain Models Over Time - **Predictive modeling** — Build Models Matched To The Problem - **LLM and agent engineering** — Deploy LLMs And Agents In Production - **Computer vision** — Apply Vision Models In Operating Workflows - **Application integration** — Integrate AI Into Production Workflows - **Business use-case development** — Scope AI Around Business Problems - **Model training and validation** — Train And Validate Production Models ### [Governance Programs](https://www.onesix.ai/services/governance-programs) *Service* Keeps governance policies, data quality, access, and lineage operating continuously as data evolves. OneSix implements governance operating models as running systems, deploying and configuring governance platforms and integrating them with data sources, identity systems, and operational tools. The service automates policy-based access controls, continuously monitors data quality, and provides searchable cataloging, end-to-end lineage, and audit-ready documentation. It can also extend monitoring to AI models through drift detection and observability. Implementations typically take two to four months and are designed to operate after the engagement closes. - **Data quality monitoring** — Monitor Data Quality Continuously - **Catalog and lineage** — Trace Data Lineage And Maintain Audit Trails - **Access enforcement** — Enforce Access Policies And Govern Data Requests - **Governance platform deployment** — Deploy Governance Platforms Into Existing Environments - **AI model observability** — Detect Model Drift And Anomalies ### [Operating Partnership](https://www.onesix.ai/services/operating-partnership) *Service* Sustain data and AI momentum with an embedded team that continuously advises, identifies opportunities, and delivers work as priorities evolve. A long-term, embedded relationship with a dedicated team of senior practitioners delivering strategic advisory, an ongoing innovation pipeline, and execution across OneSix’s six service lines. The team carries institutional context across initiatives, supports executive planning and reporting, and scales with changing workloads and priorities. The partnership is designed for organizations running multiple active data and AI workstreams that need continuous delivery rather than disconnected projects. - Categories: Data and Analytics Consulting (https://nowen.ai/category/data-and-analytics-consulting) - **Embedded execution** — Deliver Work With A Dedicated Team - **Strategic advisory** — Align Work With Shifting Priorities - **Delivery continuity** — Preserve Context Across Initiatives - **Innovation pipeline** — Prioritize New Use Cases - **Prioritized staffing** — Secure Prioritized Team Capacity - **Preferred pricing** — Access Preferred Engagement Pricing - **Platform optimization** — Optimize Platforms Over Time ### [dbt Cortex Agent](https://www.onesix.ai/accelerators/dbt-cortex-agent) *Product* Manage and deploy Snowflake agents, search services, and MCP servers through existing dbt pipelines with versioning, dependency-aware ordering, and governed access. The dbt Cortex Agent Accelerator is a proprietary OneSix dbt package that brings Snowflake Cortex Agents, Cortex Search services, and Snowflake-managed MCP servers into dbt workflows as models. Define them in the dbt project and deploy them through its existing CI/CD pipeline, with version control, dependency-aware deployment, and governance. Raw Snowflake specifications pass through verbatim, while dbt ref() dependencies order deployments after the semantic views and search indexes they rely on. - **Cortex stack dbt models** — Manage Cortex Services In dbt - **CI/CD pipeline integration** — Deploy Through Existing Pipelines - **Raw Snowflake specification passthrough** — Use Snowflake Specs As Written - **Dependency-aware deployment ordering** — Deploy Dependencies In Order - **Snowflake-managed access governance** — Apply Snowflake Access Controls - **Agent version history** — Preserve Agent Change History - **Idempotent deployments** — Rerun Deployments Safely - **Shared user feedback capture** — Capture Feedback Across Agents ### [Agentic AI](https://www.onesix.ai/use-case/agentic-ai) *Service* Move AI agents from prototypes into dependable production workflows with governed context, operational controls, and integrations tailored to business processes. OneSix architects and deploys production agentic systems with deliberate design patterns, a governed context layer, operational integrations, and the infrastructure needed to run reliably at scale. Engagements combine agent development with evaluation, observability, cost discipline, and human escalation controls. A priority agent is validated in production within the first sixty days, establishing reusable runtime, integration patterns, and operational playbooks for subsequent builds. - Categories: AI Development Services (https://nowen.ai/category/ai-development-services) - **Production agent deployment** — Deploy Agents Into Production - **Governed context layer** — Ground Decisions In Governed Context - **Agent design pattern selection** — Match Architecture To Workloads - **Workflow and data integrations** — Connect Agents To Business Systems - **Evaluation and traceability** — Evaluate And Trace Agent Behavior - **Human oversight and escalation** — Escalate Decisions To People - **Production monitoring and observability** — Monitor Agents In Production - **Cost controls** — Control Agent Operating Costs - **Containerized runtime and CI/CD** — Run Agents On Production Infrastructure - **Industry-specific agent workflows** — Adapt Agents To Industry Workflows ### [Churn Prediction](https://www.onesix.ai/use-case/propensity-risk-modeling#accelerator) *Service* Identify at-risk customers earlier and give teams scores, context, and recommendations to support timely retention interventions. A Snowflake-native churn prediction system that combines machine learning scoring with Cortex AI. It analyzes structured customer data and unstructured signals from sources such as call notes and emails, weights scores by customer value, and provides context and recommendations. The system includes a conversational interface for querying scores and customer history, alerts when scores change, and periodic retraining using new churn outcomes and account executive feedback. - **Multi-source churn scoring** — Identify And Prioritize At-Risk Customers - **Churn context and recommendations** — Understand Risk And Guide Intervention - **Conversational access to churn data** — Query Scores And Customer History - **Score-change alerts** — Alert Teams When Scores Change - **Periodic model retraining** — Refresh Models With New Outcomes - **Reusable source integrations** — Connect Common Customer Data Sources ### [Conversational AI](https://www.onesix.ai/use-case/conversational-ai) *Service* Gives customers and teams trusted, direct answers from enterprise data, documents, and operational knowledge through natural-language interfaces in tools they already use. OneSix builds production conversational AI systems that put enterprise data, documents, and operational knowledge behind natural-language interfaces. The systems combine semantic modeling for structured data, retrieval-augmented generation for unstructured content, and integrations with tools users already use. Governance frameworks, verified query patterns, and ambiguity guardrails support accurate, appropriately scoped responses. The Conversational AI Accelerator offers a Snowflake-native query layer using Cortex Analyst, Cortex Search, and Snowflake Intelligence, with role-based access, configurable cost controls, and support for multiple data domains. - **Natural-language interface** — Ask Questions In Plain Language - **Answer accuracy and ambiguity guardrails** — Clarify Ambiguous Questions And Ground Answers - **Structured data querying** — Query Structured Data With Natural Language - **Unstructured content retrieval** — Find Answers In Documents And Content - **Answer source traceability** — Verify Answers Against Their Sources - **Integration with existing tools** — Use Conversational AI In Existing Tools - **Governed access and response scope** — Respect User Permissions And Data Boundaries - **Multi-domain deployment** — Expand Across Teams And Data Domains - **Query cost controls** — Control Cortex Credits And Query Costs ### [Customer 360](https://www.onesix.ai/use-case/customer-360) *Service* Unify customer data into a trusted profile that helps teams track lifecycle stages, segment audiences, and model customer lifetime value. OneSix builds production-ready Customer 360 platforms by integrating data from existing systems into a unified customer profile. The solution combines identity resolution, lifecycle tracking, segmentation logic, and customer lifetime value modeling, with an analytics layer and user enablement. A Customer 360 Accelerator offers pre-built data models, integration templates, delivery frameworks, data quality rules, and industry schemas to reduce time to value. - **Unified customer profile** — Unify Customer Data Across Systems - **Identity resolution** — Connect Records To The Same Customer - **Lifecycle tracking** — Track Customers Across Lifecycle Stages - **Customer segmentation** — Build More Informed Customer Segments - **Customer lifetime value modeling** — Model Customer Lifetime Value - **Analytics layer deployment and user enablement** — Put Customer Insights Into Use - **Customer 360 Accelerator assets** — Accelerate Customer 360 Deployment - **Industry-specific schemas** — Apply Schemas Built For Your Industry ### [Document Intelligence](https://www.onesix.ai/use-case/document-intelligence) *Service* Turn unstructured documents into usable data for analytics, workflows, search, and question answering. OneSix builds Document Intelligence systems that turn unstructured documents into structured, analytics-ready data. Solutions are designed around specific document types, extraction requirements, and downstream use cases. The Snowflake-native accelerator uses Document AI and Cortex to ingest and extract information, with schemas defined for each document type. Confidence scores and a review application help route uncertain extractions for human review, while governed Snowflake tables make the output available to BI tools and downstream workflows. The extracted corpus can also support semantic search, retrieval-augmented generation, and question answering. - **Document ingestion and extraction** — Extract Information From Documents - **Confidence scoring and human review** — Review Uncertain Extractions - **Schema-driven extraction** — Adapt Extraction To Document Types - **Analytics-ready governed output** — Prepare Extracted Data For Analytics - **Document search and question answering** — Search Documents And Answer Questions - **Document-specific solution design** — Tailor Extraction To Document Requirements - **Extraction validation and quality assurance** — Validate Extraction Accuracy - **Workflow and system integration** — Route Data Into Existing Workflows ## Sources - [OneSix](https://onesix.ai) - [Data & AI Strategy](https://www.onesix.ai/services/data-ai-strategy) - [Governance Blueprint](https://www.onesix.ai/services/governance-blueprint) - [Data Foundations](https://www.onesix.ai/services/data-foundations) - [Analytics](https://www.onesix.ai/services/analytics) - [Artificial Intelligence](https://www.onesix.ai/services/artificial-intelligence) - [Governance Programs](https://www.onesix.ai/services/governance-programs) - [Operating Partnership](https://www.onesix.ai/services/operating-partnership) - [dbt Cortex Agent](https://www.onesix.ai/accelerators/dbt-cortex-agent) - [Agentic AI](https://www.onesix.ai/use-case/agentic-ai) - [Churn Prediction](https://www.onesix.ai/use-case/propensity-risk-modeling#accelerator) - [Conversational AI](https://www.onesix.ai/use-case/conversational-ai) - [Customer 360](https://www.onesix.ai/use-case/customer-360) - [Document Intelligence](https://www.onesix.ai/use-case/document-intelligence)