Surya Technologies serves two distinct markets. For mid-market healthcare and manufacturing operators, we offer focused engineered endpoint and network edge logistics — that's what the rest of this site is about. For globally distributed enterprises operating at multi-domain scale, we offer co-managed IT, enterprise IT logistics, ServiceNow integration, and Microsoft AI implementation under master service agreements. This page is the entry point for the second offering.
/ 01 Capability Areas
The enterprise services portfolio centers on four capability areas. Most engagements include elements of multiple areas; some focus on one. The first three are covered in this section; AI and Microsoft Copilot implementation is covered in depth in Section 03 below given the scope of work involved.
/ 01
Co-managed IT is the operating model that respects your internal team's authority while providing the operational capacity they need to deliver against enterprise expectations. Your CIO sets strategy. Your enterprise architecture group owns platform decisions. Your security organization owns risk posture. Surya Technologies provides the operational execution — managed services, service desk, infrastructure operations, security operations, and project delivery — that augments your internal capability without displacing it.
The engagement model is defined by clear operating boundaries. Surya operates within your governance framework, uses your tools and processes where they exist, and integrates into your operating cadence rather than imposing ours. Quarterly governance reviews map service performance against committed levels. Executive sponsorship sits with named senior leaders on both sides.
This is the dominant enterprise IT services model in 2026 because pure outsourcing fell out of favor a decade ago. Modern enterprises keep strategic control of IT and outsource only the operational layer. Surya is built for that model from the ground up.
/ 02
The focused logistics offering on the rest of this site is built for mid-market operators with hundreds to a few thousand devices. Enterprise IT logistics is the same operational backbone scaled for tens of thousands of devices, hundreds of sites, multi-country footprints, and complex global compliance regimes.
What changes at enterprise scale: dedicated program management with named account leads, multi-region facility operations beyond Research Triangle Park, named service level agreements with operational performance reporting, executive governance with quarterly business reviews, and integration into your global IT operating model rather than as a standalone service. The unit economics shift too — enterprise logistics is priced under master agreement structures rather than per-unit transactional pricing.
The 17,000 square foot Research Triangle Park facility remains the operational backbone for North American operations. Global enterprise customers requiring multi-region delivery are served through Surya Technologies' partner network and operational footprint.
/ 03
ServiceNow is the dominant ITSM platform at enterprise scale. The question isn't whether to integrate with your ServiceNow estate — it's how. Surya Technologies operates against three distinct integration models, and the right one depends on your governance, your data sovereignty requirements, and your operational philosophy.
Multi-domain integration places Surya operations directly within your existing ServiceNow instance, operating as a tenant of your multi-tenant architecture. Your incidents, your assets, your service requests, and Surya's work all live in one source of truth. This model fits customers who want full vendor visibility inside their primary instance.
Instance-to-instance integration via ServiceNow ServiceBridge runs Surya's operations in our own ServiceNow instance, with bidirectional federation to yours. Surya's incidents stay in Surya's instance; relevant events surface in your instance through federated views. This model fits customers who want vendor isolation with real-time visibility, common at organizations with strict data segregation requirements.
Dedicated instance integration provides you with a Surya-managed ServiceNow instance separate from your primary instance. Used when security, compliance, or regulatory considerations require completely isolated managed services operations. Less common but real for highly regulated customers.
Three capabilities, three delivery models for ServiceNow, one master service agreement. The engagement structure is shaped during the discovery conversation.
/ 02 Who This Is For
The enterprise services portfolio is built for organizations whose IT operating reality requires a specific kind of vendor. The focused mid-market thesis on the rest of the site is not built for this scale. This is.
/ Scale
10,000+ employees, multiple business units, global or multi-regional footprint. IT operations measured in tens of millions of dollars annually. Procurement-led sourcing under master service agreements with multi-year horizons and named executive sponsorship.
/ Scope
Operating requirements that span managed IT, enterprise logistics, security operations, ServiceNow platform engineering, and project delivery. Typically delivered under a single vendor relationship rather than fragmented across specialists. The vendor relationship is itself strategic — not transactional.
/ Governance
Master service agreements with documented service catalogs. Named pricing structures and committed service levels. Quarterly business reviews with executive sponsors on both sides. Audit-grade evidence and documentation as a default expectation, not a special request.
/ 03 AI and Copilot Implementation
Every Fortune-tier enterprise is somewhere on the Microsoft AI journey. The pattern is consistent: leadership commits to deploying Copilot, IT runs a pilot of a few hundred users, the pilot produces ambiguous ROI, and the organization gets stuck trying to figure out how to scale across tens of thousands of seats without burning tens of millions on licenses that don't get used. The licenses are paid for. The strategic intent is clear. What's missing is the operational layer that converts AI capability into realized value.
Surya Technologies operates that layer. We deploy Microsoft 365 Copilot at enterprise scale, build custom AI agents using Copilot Studio, operationalize Security Copilot for your SOC, deploy Dynamics Copilot variants across customer-facing functions, and engineer the Azure AI Foundry foundation for your custom AI workloads. The work is concrete: governance, data readiness, persona-driven licensing, adoption measurement, and the operational discipline that turns Copilot from a pilot into a production capability.
This is not AI strategy consulting. We don't sell decks. We engineer the deployment, operationalize the governance, build the agents, and measure the adoption — the same way we operationalize every other Microsoft SKU on your bill.
/ 03.1 The Failure Pattern
Before describing what Surya does, it helps to name what goes wrong at most enterprises. The pattern is predictable. If your Copilot deployment is stuck somewhere in this list, that's the engineering work that needs to happen.
/ Governance
Copilot inherits the data governance posture of your Microsoft 365 estate. If sensitivity labels aren't applied to your SharePoint sites, Teams channels, and OneDrive content, Copilot has no way to enforce data classification when generating responses. The result: confidential data leaks into AI-generated content, internal documents surface to users who shouldn't see them, and the legal team puts the deployment on hold. Most enterprises haven't done the Purview governance work that Copilot requires.
/ Data Readiness
Copilot reasons over your Microsoft Graph data — SharePoint, Teams, OneDrive, Exchange, calendars, contacts. If that data is poorly organized, redundantly stored, or contains years of accumulated digital debris, Copilot surfaces garbage answers and users disengage. Enterprise data readiness is the unglamorous work that determines whether Copilot produces value or noise.
/ Licensing
Microsoft 365 Copilot licenses cost $30 per user per month. Across 20,000 employees that's $7.2 million annually. Most enterprises deploy Copilot licenses too broadly to users who don't use it, while underdeploying to the personas where it would compound. Persona-driven licensing optimization typically reduces Copilot spend by 30-50% while increasing realized value.
/ Adoption
Successful Copilot adoption requires different rollout strategies for different personas. A sales team uses Copilot differently than a finance team than a legal team than a clinical team than an engineering team. Most enterprises deploy Copilot with generic training and uniform expectations, then wonder why utilization varies wildly. The personas that drive Copilot value are the same personas that drive every other persona-aware engineering decision in your Microsoft estate.
/ 03.2 The Capability
Five capability areas covering the full Microsoft AI surface. Engagements typically include elements of multiple areas under a single master service agreement. The Copilot Readiness Assessment is the front door to any AI engagement.
Capability / 01
Microsoft 365 Copilot at Fortune-tier scale requires more than license assignment. Surya engineers the deployment end-to-end: persona-driven licensing strategy that targets the users where Copilot compounds, Purview sensitivity label deployment so AI-generated content inherits your data classification, Microsoft Graph data readiness to clean and structure the underlying data Copilot reasons over, and Conditional Access policies that govern who can access Copilot under what conditions.
The deployment includes role-based adoption programs — different rollout strategies for finance, legal, sales, engineering, clinical, and other personas. Adoption measurement is built in: Microsoft Viva Insights and custom analytics that track per-persona utilization, value realization, and licensing efficiency. The customer sees which licenses are productive, which are dormant, and where to reallocate.
The work continues post-deployment. Quarterly persona tuning. License optimization based on utilization data. Adoption interventions for personas falling behind. New feature integration as Microsoft ships them.
Capability / 02
Off-the-shelf Microsoft 365 Copilot is general-purpose. The strategic value lives in custom AI agents built on Copilot Studio — purpose-built agents that connect to your data, your workflows, and your business logic. A claims-processing agent for an insurance carrier. An onboarding agent for HR. A clinical documentation agent for healthcare. A field-service triage agent for industrial equipment.
Surya delivers Copilot Studio agent development as part of the enterprise engagement. We design the agent against your specific workflow, connect it to your Microsoft Graph data and your business systems (ServiceNow, SAP, Salesforce, Dynamics, custom platforms), implement the governance and identity controls, deploy it through your Microsoft 365 estate, and iterate based on user feedback. Agents become real production capabilities, not pilots.
The architectural principle: agents follow the same persona model that governs everything else in your Microsoft estate. A clinical agent inherits the clinical persona's data access policies, compliance posture, and audit logging. No separate governance regime for AI. One model, applied consistently.
Capability / 03
Security Copilot is the most under-deployed product in Microsoft's enterprise AI portfolio. SOC teams that are drowning in alerts, struggling with incident correlation, and short-staffed on senior security expertise gain disproportionate value from Security Copilot — but deploying it correctly requires integrating it with your existing SOC tooling, training analysts on the prompt patterns that produce useful output, and tuning the model against your specific threat landscape.
Surya deploys Security Copilot integrated with Microsoft Sentinel, Defender XDR, and your existing SIEM/SOAR estate. We build the incident response playbooks that leverage Security Copilot for triage, the threat hunting workflows that use it for correlation, and the executive reporting that translates SOC operations into language the CISO and audit committee understand.
For enterprises with Zscaler, Palo Alto, or other security stack components, Security Copilot integrates across vendors — not just within the Microsoft estate. The integration work is real and we do it.
Capability / 04
Dynamics 365 Copilot variants — Copilot for Sales, Copilot for Service, Copilot for Finance, Copilot for Supply Chain — are the productivity layer on top of your customer-facing operations. They underperform when deployed without integration into your specific business processes.
Surya operationalizes Dynamics 365 Copilot variants in the context of your CRM, your service desk, your finance operations, and your supply chain systems. We connect the Copilot variants to your custom Dynamics workflows, integrate them with your ServiceNow estate where applicable, configure the data sources that feed the AI, and measure the productivity outcomes — calls handled, deals closed, invoices processed, supply chain decisions accelerated.
Capability / 05
For enterprises building beyond Microsoft's pre-built Copilots — proprietary AI models, custom retrieval-augmented generation (RAG) systems, fine-tuned models on enterprise data — Azure AI Foundry is the platform. Surya engineers the foundation: secure model deployment, data pipeline architecture, governance and audit logging for AI workloads, cost optimization, and integration with your Microsoft identity and security plane.
This capability sits at the intersection of platform engineering and AI architecture. The customer brings the AI strategy and the use cases; Surya builds the operational foundation that makes the AI workloads enterprise-ready, secure, governable, and cost-effective. We do not compete with internal AI/ML teams — we enable them.
/ 03.3 The Front Door
Every AI engagement begins with a Copilot Readiness Assessment. The assessment is distinct from the standard engineering gap analysis — it's specifically scoped to evaluate your Microsoft estate against the prerequisites for successful Copilot and AI deployment.
/ Inventory
Microsoft 365 Copilot license count and assignment, Copilot Studio licensing, Security Copilot deployment state, Dynamics Copilot variants in use, Azure AI Foundry consumption, and broader Microsoft AI investment. The output is a complete view of what you own, what's deployed, what's dormant, and what you're paying for twice.
/ Governance
Purview sensitivity label coverage across SharePoint, Teams, and OneDrive. DLP policy maturity for AI-generated content. Microsoft Graph data hygiene. Conditional Access policies for AI workloads. Audit logging maturity. The output is a Zero Trust maturity scorecard specifically for AI deployment, mapped to the CISA Zero Trust Maturity Model with AI-specific overlays.
/ Roadmap
Persona-driven Copilot deployment plan tailored to your business. Custom agent opportunities prioritized by ROI. Security Copilot integration strategy. Dynamics Copilot variant prioritization. Azure AI Foundry foundation requirements. The output is a written roadmap your CFO and CIO can act on, plus a fixed-price engineering quote for the AI capability work.
The Copilot Readiness Assessment is custom-priced based on the scope of your Microsoft estate and AI ambition. Typical engagement: three to four weeks, fixed scope, fixed price. The assessment fee credits back against the AI engineering engagement if you proceed within 90 days of receiving the report.
Request a Copilot Readiness Assessment →/ 03.4 The Principle
Most enterprises end up with a separate governance regime for AI — different identity controls, different data classification, different audit logging, different access decisions. That divergence is the source of the security, compliance, and operational problems that stall AI deployments at scale.
Surya's architectural principle: AI inherits the same persona model that governs identity, endpoint, data, network access, and the rest of your Microsoft estate. A clinical persona's Copilot access follows the clinical persona's Conditional Access policies. A finance persona's agent inherits the finance persona's Purview labels. Security Copilot operates within the same Sentinel and Defender architecture as the rest of your SOC.
One persona model. Everything inherits from it. AI is not a separate workload — it's a capability that operates under the same architecture as everything else you've engineered. That's how AI scales without breaking governance, and it's how Surya delivers Copilot at enterprise scale.
/ 04 Industry Context
Surya Technologies' enterprise customer base operates across industries with shared characteristics: globally distributed workforces, multi-site operational footprints, complex regulatory and compliance regimes, and operations where IT downtime translates directly to business impact.
/ Education and Assessment
Compliance with student data regulations across multiple jurisdictions (FERPA, COPPA, GDPR). Mission-critical reliability for testing and assessment infrastructure. Audit-ready operational evidence for accreditation bodies. Multi-region content delivery with localized operational support.
/ Food Services and Hospitality
Distributed workforce management across thousands of locations. Operational consistency across geographically dispersed sites. Branded employee experience at every touchpoint. Service delivery measured in operational uptime rather than ticket counts.
/ Industrial Manufacturing
Manufacturing operations continuity as a primary success metric. OT and IT convergence at the plant network edge. Supply chain integration across tier-one and tier-two suppliers. Operational discipline that survives audit by regulatory bodies and customer audit teams.
/ Automotive and Premium Manufacturing
Brand-grade operational standards across customer-facing and back-office systems. Engineering and design environment support with compatibility constraints. Multi-country regulatory compliance for product certification and customer data. Discrete and process manufacturing operations under one operating model.
/ 05 How We Engage
/ Commercial Structure
Enterprise engagements run under master service agreements with documented service catalogs, named pricing structures, and committed service levels. You don't reprocure for each engagement; you scope new work against the existing contract. Service additions, capacity changes, and scope expansions follow defined amendment processes rather than triggering net-new procurement cycles.
/ Operational Model
Each engagement has a dedicated account team: a client partner accountable for the relationship, a delivery executive accountable for service performance, and named subject matter experts across the relevant capability areas. The team is your single point of accountability across everything Surya Technologies delivers. The team is named in the contract.
/ Governance
Executive sponsorship is built into every enterprise engagement. You know the names of the senior Surya Technologies leaders responsible for your account, and you have direct access to them at executive review cadence. Quarterly business reviews with executive participation. Annual strategic planning sessions with both organizations. Surya Technologies does not run anonymous account management at the enterprise tier.
/ 06 Two Tiers, One Company
Surya Technologies operates two distinct go-to-market motions. The enterprise services portfolio documented on this page is the broader, longer-standing practice — globally distributed customers, master agreements, multi-capability engagements. The focused logistics offering documented elsewhere on this site (the home page, /engineering, /savings, /pricing) is a more recent strategic specialization — mid-market healthcare and manufacturing operators, engineered endpoint and network edge logistics, sharp commercial thesis around retiring MSP costs.
Both offerings share the same operational backbone: the Research Triangle Park facility, the engineering bench, the operational discipline. They differ in commercial structure, sales motion, and customer profile. Enterprise customers under a master agreement can absolutely include focused logistics services in their scope. Mid-market customers engaging through the focused thesis aren't paying for the broader portfolio they don't need.
If your organization fits the enterprise profile, this page is your entry point. If you operate at mid-market scale in healthcare or manufacturing, the focused logistics offering is built specifically for you. Surya Technologies serves both deliberately.
/ 07 Next Step
Enterprise engagements begin with a discovery conversation between your team and ours. We map your current IT operating model, identify the capability areas in scope, discuss the ServiceNow integration model that fits your governance, and propose an engagement structure. No sales pitch, no boilerplate proposal. A working session that produces a defined scope you can take to procurement.
Request an enterprise discovery conversation/ Contact
Tell us about your fleet — number of devices, vertical, and HRIS — and our RTP team will be in touch within one business day.
Facility
Surya IT Logistics
Research Triangle Park, NC 27703
Verticals
Healthcare · Manufacturing