Five Practice Areas. One Delivery Standard.
From AI strategy through managed operations, our practice areas cover the full technology delivery lifecycle. ServiceNow, Microsoft Azure, data and analytics, utility reliability, and the programs that have gotten stuck and need a new team to finish them.
AI Does Not Fail Because of the Technology
Most organizations are not short on AI tools or ambition. What they lack is an environment that is actually ready for AI to run on. Before any model or platform can deliver value, the foundation beneath it has to be in order.
Knowledge and context are not organized for AI.
AI needs clean, current, structured context to act on. Most organizations have that knowledge scattered across SharePoint folders, tribal memory, and legacy systems that have never been reconciled.
Business processes have not been updated for AI-assisted work.
Layering AI on top of a broken or manual process produces faster chaos. The process itself needs to be documented, rationalized, and redesigned around what AI can actually do.
Data quality does not survive contact with production.
Demo environments use curated data. Production does not. Getting AI to perform consistently at scale requires data governance, integration, and ongoing quality management, not just a pipeline.
Change management is treated as an afterthought.
The people using the system have to trust it, understand what changed, and have support when things do not work as expected. Without that, the technology goes live and sits unused.
Business Strategy
Most failed AI initiatives trace back to a strategy problem. The initiative was too broad, the business case was too weak, or the data and platform dependencies were not mapped before the project started. We fix that. A Tuatara strategy engagement produces a ranked initiative list with business cases attached, not a slide deck.
Strategy Formulation
Define clear business and technology strategies that align stakeholders and drive organizational direction.
Strategic Functional Roadmaps
Build prioritized, outcome-driven roadmaps across business functions tied to measurable milestones.
AI Ready Assessments
Evaluate your organization's readiness for AI adoption across people, process, data, and technology dimensions.
FinOps
Optimize cloud and technology spend through financial operations discipline, cost governance, and ROI accountability.
Intelligent Applications
We configure and implement ServiceNow (ITSM, ITAM, SPM, CMDB, Now Assist) and Microsoft Azure (Fabric, AI Foundry, Power Platform). We integrate with your existing systems, manage the data quality that AI actually needs, and handle the change management that separates deployed from adopted. For programs that are stuck between approved and live, we step in and finish them.
Business Systems Integration
Connect and integrate your enterprise systems for seamless data flow and operational efficiency.
Product Roadmaps & Backlogs
Define, prioritize, and manage product roadmaps aligned to business outcomes and strategic goals.
Generative & Agentic AI
Deploy large language models and autonomous AI agents to automate complex business workflows.
Data-Driven Workflow Automation
Automate workflows and processes using AI-powered insights and intelligent decision-making.
Data, AI & Analytics
Poor data quality is the most common reason AI pilots fail at scale. A demo environment has clean, curated data. Production does not. We fix the data foundation before standing up the AI tools. As a Microsoft Solutions Partner and ServiceNow Premier Partner, we deploy Microsoft Fabric, ServiceNow Now Assist, and Moveworks to build the data foundations and AI capabilities your pilots actually need.
AI Readiness Maturity Assessments
Evaluate organizational, data, and technical maturity for AI adoption with actionable roadmaps.
Data Integrations
Connect disparate data sources across enterprise systems for unified, reliable data access.
Enterprise Data Management & Governance
Implement data quality, cataloging, lifecycle management, and governance frameworks at scale.
Microsoft Fabric
Build unified analytics platforms on Microsoft Fabric, combining data engineering, warehousing, real-time analytics, and AI in a single governed environment powered by Azure.
ServiceNow Now Assist
Deploy ServiceNow Now Assist to bring generative AI to ITSM, HRSD, and CSM workflows, enabling intelligent case resolution, contextual search, and employee self-service at scale.
Moveworks Enterprise AI
Implement Moveworks to automate IT, HR, and business support using conversational AI, accelerating resolution times and freeing your teams for higher-value work.
Utility Reliability as a Service
Utilities run on assets that cannot fail. When Infor EAM, Esri GIS, and OT systems are disconnected from each other, field crews make decisions on incomplete information and AI-driven predictive maintenance has no reliable data to work with. We integrate these systems, configure the ServiceNow CSM and FSM workflows that tie field operations together, and solve the OT/IT data problems that block reliability intelligence from reaching production. One utility client saw field crew overtime drop 22% in the first quarter after we delivered their GIS-EAM integration.
Enterprise Asset Management (EAM)
Implement and optimize Infor EAM to manage asset lifecycles, maintenance workflows, and work order management at scale.
OT Management
Bridge operational technology systems with enterprise platforms for unified visibility, monitoring, and control of critical infrastructure.
GIS Integration
Leverage Esri GIS to spatially visualize assets, plan field operations, and integrate geographic intelligence into reliability workflows.
CSM & FSM
Deploy ServiceNow Customer Service Management and Field Service Management to coordinate crews, optimize dispatching, and improve service delivery.
Managed Services
We built it. We know how it breaks. We can run it. The Tuatara Nexus AI Control Tower gives clients a managed operations layer for their ServiceNow and Azure AI environments. We monitor performance, manage incidents, run platform upgrades, and optimize cost. Most clients see 30% reduction in unplanned downtime within the first quarter.
Tuatara Nexus AI Control Tower
AI-powered operations hub providing unified monitoring, intelligent alerting, and proactive platform management across your enterprise technology stack.
Innovation Fabrication
A structured Center of Excellence that accelerates innovation through governed product roadmaps, agile execution, and cross-team integration.
Talent as a Service (TaaS)
Flexible, on-demand access to certified technology consultants and specialists that scale with your project needs and strategic priorities.
Innovation Fabrication Center of Excellence
A structured, repeatable process for delivering AI initiatives at scale. We use this model to ensure that pilots do not die in handoffs, that business stakeholders stay aligned, and that deployment velocity does not slow down after go-live.
Governance & Steering Committee
Establish executive oversight, decision rights, and investment prioritization frameworks that align innovation to strategy.
Product Roadmap & Backlog Management
Build and maintain a prioritized, business-aligned product backlog that drives consistent delivery velocity.
Agile Execution
Deliver in iterative sprints with disciplined scrum practices, continuous integration, and rapid feedback loops.
Cross-Team Integration
Coordinate across business units, technology teams, and vendors to ensure seamless delivery and eliminate silos.
Reporting & Stakeholder Communication
Deliver transparent, data-driven progress reporting that keeps stakeholders informed and investment decisions grounded in outcomes.
Results From Real Engagements
Client names are not published without permission. The outcomes below reflect active engagements.
Doubled Throughput at Half the Team Size
An organization's offshore delivery team was underperforming on a critical platform program. We took over operations and ran the engagement through our Innovation Fabrication model. The team delivered more than twice the throughput of the prior team at half the resource count, with measurable improvement in quality and predictability of releases.
Timeline Reduced by Two Years. Costs Reduced by Millions.
We engaged with an enterprise asset management program that was behind schedule and over budget. Through restructured program leadership, improved accountability, and a more disciplined delivery approach, the projected completion timeline was reduced by two years and costs were reduced by millions of dollars without descoping the core objectives.
Up to 90% Faster Processing. Data Costs Brought Under Control.
A client's data environment had been built on an architecture that was running up significant platform costs and producing slow, unreliable results. We migrated to a stable, right-sized platform, brought ongoing data costs under control, and worked with the data engineering team to reduce processing times by up to 90%, enabling materially faster access to business analytics.
Stuck on a Program? Starting Something New? Let's Talk.
Whether you are kicking off a new AI or platform program, or an existing effort is behind schedule and needs a new approach, we are worth a conversation.