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Engagement Model

Managed Services.

End-to-end management of service towers (application support, data engineering, cyber operations, GRC, RPA, AI operations) on KPI-driven SLAs with executive governance and SOC 2 Type I attestation. Onshore (US) and offshore (India) delivery.

App SupportData EngineeringCyber OpsGRCRPAAI Ops

When managed services is the right call.

Managed services is the most strategic of our engagement models, and the most often misunderstood. It is not just outsourcing; it is buying an operating service with accountability shifted to us.

— Pick managed services when

You want a service run, not bodies placed.

  • An ongoing service tower needs SLA-driven operation
  • You want KPI accountability for the function, not just headcount delivered
  • Offshore economics improve the cost-to-quality ratio for your program
  • You'd rather pay for outcomes than for management of the team
  • The function has stable demand and well-defined service levels
— Pick something else when

You need direct control.

  • The function is your strategic differentiator and you want it in-house
  • Demand is volatile; managed services pricing assumes stable volume
  • The work requires deep institutional knowledge that's hard to transfer
  • You don't have an empowered governance owner to manage the relationship
  • The service needs frequent direction changes; managed services is built for stable scope

How we run it.

Managed services is the most operationally demanding engagement model we run. The disciplines below are what separate managed services that creates leverage from managed services that creates dependency.

Transition with a deliberate stabilization period.

The first 90 days are transition: shadowing your team, documenting tribal knowledge, setting up tooling and runbooks. We don't take SLA accountability until stabilization is complete and runbooks are in place. Pretending otherwise means failing SLAs while still figuring out the work.

Tower lead with executive accountability.

Every managed services engagement has a tower lead on our side at the senior level, usually a director or VP, who owns the service outcome. They report into your governance forum, escalate risks, and bear personal accountability for whether the SLAs hit.

KPI dashboards, not status decks.

Managed services governance runs on dashboards showing service levels, capacity utilization, ticket volumes, and outcomes, increasingly with AI-augmented capacity forecasting and anomaly detection. Status decks signal immature governance. The dashboard is the product; the deck is just the explanation.

Continuous improvement and the 10% rule.

Year-over-year, we target 10% cycle-time improvement on every managed services tower. Not just maintaining the SLA, improving it. It comes from automation, runbook refinement, and the compounding knowledge the tower team builds. If we're not improving, you're not getting the leverage you should.

Reversibility and clean exit.

Every managed services contract has explicit reversibility provisions: if you bring the service back in-house, we hand off the runbooks, train your team, and structure the transition. Vendors who lock you in by design eventually mistreat you. We don't operate that way.

— Service Towers

Service towers, in practice.

Six service towers we own end-to-end as managed services engagements. Our talent network is broader; these are the operational services we run on SLA, with KPI accountability, with a tower lead personally on the hook for the outcome.

Application Support Operations

  • L1 / L2 / L3 production support
  • Incident response & problem management
  • Release management & deployment ops
  • SLA-driven ticket flow and escalation

Data Engineering Operations

  • Pipeline operations & orchestration
  • Data quality monitoring & observability
  • Lakehouse runtime & cost management
  • Schema evolution & lineage discipline

Cyber Operations

  • SOC monitoring & threat detection
  • Incident response runbook & tabletop
  • Vulnerability management & patching
  • Attestation evidence & audit posture

GRC & Compliance Operations

  • Control testing & continuous monitoring
  • Audit preparation & evidence collection
  • Regulatory tracking & impact analysis
  • Policy maintenance & attestation cycles

RPA & Automation Operations

  • Bot maintenance & health monitoring
  • Exception handling & recovery
  • Governance, lifecycle & versioning
  • Expansion roadmap & opportunity pipeline

AI Operations

  • MLOps runtime & model deployment
  • Model monitoring & drift detection
  • Evaluation cadence & retraining triggers
  • GenAI guardrail testing & output review
Tower scope is bounded at signature: service definition, KPIs, escalation, exit terms all defined before the engagement starts.
— Delivery Models

Two delivery geographies.

The right geography depends on your data residency requirements, time zone needs, and the cost-to-quality ratio your program can sustain.

US Onshore

Fully US-based delivery for towers requiring data residency, US Citizen / Green Card workers, or onshore time zone alignment. Higher cost-to-capability ratio, but the only option for some regulated environments.

Offshore (India)

India-based delivery from our Global Delivery Centers in Hyderabad, New Delhi, and Lucknow. Best cost-to-capability economics for follow-the-sun work, application support, and the high-volume service towers where 24/7 coverage is part of the SLA.

— Trust & Compliance

The attestations and controls procurement asks for.

Managed services involves sensitive operational data, IP, and access. We've earned the attestations, separated the data, and built the controls that enterprise security and procurement teams require before signature, not after.

SOC 2 Type I Attested

Independent attestation of our security, availability, and confidentiality controls. Available under NDA on request.

Data Handling Discipline

Segregated environments, encryption at rest and in transit, controlled access. Data residency options for regulated workloads.

IP & Work-Product Separation

Your work product is your IP. Engagement terms make ownership explicit at signature. Pre-existing IP is licensed cleanly.

Audit-Ready Posture

Continuous control testing, evidence collection, and quarterly attestation cycles. Built to pass enterprise security review.

— Case Study

From phased SOW to ongoing managed services.

A structured finance firm needed modern reporting on a 30-year-old AS400 loan platform, conventionally a multi-million-dollar rip-and-replace. We built a bridge architecture instead: system of record intact, a modern Azure + Power BI layer on top. The phased SOW became an ongoing managed services tower.

Read the case study →
~10x
Cost vs. rip-and-replace
alternative
— Managed Services Brief

The full picture, in one document.

The six service towers, the operating model, the SOC 2 Type I controls procurement asks for, and the US/India delivery split, in one page you can forward to security and procurement.

Download the brief (PDF)

Want a service run for you?

Tell us the tower, the SLAs, and the geography. We'll come back with a transition plan, a steady-state team, and a governance framework calibrated to the actual scope.