Engagement model
Ongoing operations with named SLAs, escalation tiers, and on-call coverage. We run what we built — or what you built — under a published service contract with the operating discipline production actually demands.
When this fits
Three patterns. First, post-launch operations: a system we (or you) shipped that needs SRE-grade operations without expanding internal headcount. Second, AI ops: production AI workloads that need continuous evaluation, drift monitoring, and quarterly model upgrades on a cadence internal teams struggle to sustain. Third, platform stewardship: cloud / data / enterprise platforms (D365, Salesforce, ServiceNow, Power BI) that need ongoing release-wave management, governance review, and quarterly architectural review.
Managed Services answers all three. We operate as part of your engineering organization — pager rotation, incident response, change management, monthly executive review — under a published SLA matrix. The same senior engineering quality that built the system runs it. We tell you when Managed Services is the wrong answer (e.g., bursty work patterns better served by Dedicated Teams).
Operating cadence
The cadence below is what stakeholders actually feel. Named ceremonies, named owners, named acceptance criteria — not a generic agile slide.
Service catalog definition, SLO specification, runbook authoring, on-call integration, monitoring access, and the operational baseline review. Onboarding is intensive and deliberate — the engagement after it depends on it.
On-call rotation aligned to severity matrix, change management gated by review process, monitoring with alert routing, and the ticket / incident workflow integrated with your engineering organization's existing tooling.
Weekly status with engineering leadership: SLO performance, incident summary, change activity, backlog health, capacity utilization. Issues surface before they become escalations.
Service health, incident retrospectives, technical debt accrual, roadmap dependencies, and the quarterly review preview. The engagement compounds value when leadership stays informed at the right altitude.
Architecture against the eval set, capacity planning against forecast load, technical debt prioritization, security posture review, and the operating cadence retrospective. The platform we run improves quarter over quarter — not despite operations.
Scope
Scope creep is a contract problem, not an engineering problem. Both columns below appear in the SOW.
In scope
Out of scope
Team
Senior-only by policy. Each role below names the seniority floor; we don’t staff client work below it.
Senior engineers in the on-call rotation across our delivery centers (Dallas, Doha, Lahore) for follow-the-sun coverage. Drawn from the practice that owns the workload.
Single point-of-contact for operations health. Owns SLO performance, incident retrospective, change-management quality, and stakeholder reporting. Reports separately from on-call line.
Department lead for the practice owning the service. Architecture review, hard-problem escalation, and quarterly architectural review. Included in retainer.
On request: AI ops specialist for engagements with production AI workloads. Eval discipline, drift monitoring, retraining cadence, and quarterly model-upgrade evaluation.
Pricing
Brackets — not hidden quotes. We publish ranges so visitors self-qualify before the first call.
Single-service operations: on-call, monitoring, incident response, monthly review. For mid-complexity workloads with predictable load patterns.
Range
$25K – $60K / month
Multi-service operations: on-call, monitoring, change management, backlog operations, quarterly architectural review. For active platforms with multiple workloads.
Range
$60K – $150K / month
Multi-team operations: on-call, SRE program ownership, AI ops, platform governance, monthly executive review, quarterly architectural review. For enterprise platforms.
Range
$150K – $500K / month
AI ops specialist for production AI workloads: eval datasets, drift monitoring, retraining cadence, quarterly model-upgrade evaluation. Layered on Standard or Enterprise tier.
Range
+$30K – $80K / month
Project-style engagements within the existing relationship — major feature work, modernization waves, etc. Billed at agreed day rates outside the retainer.
Range
Day-rate billing
Governance
Decision grid
Most buyers debate at least two of our engagement models. Here is how to choose, dimension by dimension.
| Dimension | Managed Services Monthly retainer | Dedicated Teams Time & materials | Project-Based Delivery Fixed-price · milestone-based |
|---|---|---|---|
| Best for | Production support, SRE, AI ops, ongoing platform stewardship | Long-term capability gaps, scale-up phases, embedded squads | Bounded initiatives with fixed scope, MVPs, modernization phases |
| Pricing | Monthly retainer | Time & materials | Fixed-price · milestone-based |
| Cadence | Continuous | Quarterly | Per SOW |
| Min commitment | 12 months | 1 quarter | Per SOW |
| Production SLA | |||
| On-call coverage | |||
| Embedded in your team | Operates as part of | ||
| Department backing included |
Selected work
Common questions
No — we operate what you built too. The onboarding includes an architecture review and acceptance phase: we audit the platform, document the operational state, and accept it under our service contract. We tell you honestly when the architecture isn't operationally viable and recommend remediation before we sign the SLA.
24×7 follow-the-sun across Dallas, Doha, Lahore. Engineers in the on-call rotation are senior (G6+), drawn from the practice that owns the workload. P0 acknowledgment within 15 minutes, P1 within 1 hour, P2 within 1 business day, P3 within 5 business days. SLA matrix documented per service in the contract.
Yes — AI ops is a common engagement add-on. Eval dataset maintenance, drift monitoring, retraining cadence, quarterly model-upgrade evaluation, and the audit-trail tooling regulated AI workloads require. Often layered on Standard or Enterprise tier as a $30K–$80K monthly add-on.
Backlog operations (bug fixes, minor enhancements, dependency upgrades) are in-scope under retainer. Major feature development happens through Project-Based engagements within the existing relationship — billed at agreed day rates outside the retainer. We design the boundary explicitly so neither side over-asks.
Continuous evidence collection produces what audits expect (SOC 2, ISO 27001, HIPAA, PCI-DSS) as a side-effect of operating the system. We support QSA-led assessments, payer security reviews, and regulator inquiries with the audit pack already current.
90-day notice in either direction. Hand-off plan documented and rehearsed before termination effective date: knowledge transfer, runbook handover, on-call transition, and a 30-day shadow period. We design termination to be clean — both sides walk away with what they need.
Foundational tier: $25K–$60K/month. Standard tier: $60K–$150K/month. Enterprise tier: $150K–$500K/month. AI Ops add-on: +$30K–$80K/month. On-demand project work: day-rate billing outside retainer. 12-month minimum term. Brackets published honestly so visitors self-qualify before the first call.
Talk to us
A senior engineer plus the relevant department lead joins the first call. Bring the problem; we’ll bring the SOW draft.