Enterprise Platforms · ATLAS
Implementation, customization, and managed services for Microsoft Dynamics 365, Salesforce, Power BI, ServiceNow, Shopify Plus, ERPNext, and Odoo — the platforms enterprise IT runs on. Senior engineers and certified architects who have shipped these stacks at production scale.
The problem
The pattern is consistent across Dynamics 365, Salesforce, ServiceNow, and Power BI engagements: a heavy implementation phase staffed with mid-level configurers, a handoff that exposes how shallow the customizations are, an integration story that turns out to be 'phase 2', and three years of accreted technical debt before someone proposes a replatform. Vendor partners optimize for go-live milestones; the operational reality after go-live is somebody else's problem.
ATLAS — our enterprise platforms practice — staffs every engagement with senior platform architects (Microsoft MVPs, Salesforce CTAs, ServiceNow CMAs, Power BI MVPs where the seniority floor is real) plus FORGE engineers for cross-platform extensions. We design for what the platform looks like in year three, not week one. Implementations include the integration scope, the governance frame, and the operating cadence that compounds value over multiple release waves — not just the configuration that hits the demo script.
What we deliver
Implementation, customization, and managed support for Dynamics 365, Salesforce, Power BI, ServiceNow, Shopify Plus, and ERPNext.
Finance, Supply Chain, Sales, Customer Service, and Power Platform extensions.
Sales Cloud, Service Cloud, Marketing Cloud, and custom Lightning apps.
Semantic models, governed dashboards, embedded analytics, and DAX optimization.
ITSM, ITOM, HRSD, and custom workflow apps with audit-grade governance.
Storefront, headless, B2B, checkout extensions, custom apps, and ERP integrations.
Frappe-based open-source ERP — implementation, customization, Frappe Cloud, and managed operations.
How we engage
The methodology shows up in the statement of work — not as slogans, but as deliverables, owners, and acceptance criteria.
Two-week assessment: business processes, data model, integration surface, regulatory frame, and existing tooling overlap. Output is an honest fit recommendation — including 'don't deploy this platform' or 'use a different module' when that's the right answer. We won't push a deployment we wouldn't operate.
Out-of-the-box configuration where the platform supports it, declarative customization where the data model warrants it, code extensions only where the business logic demands engineering. Every customization is documented with its upgrade impact and named owner — no opaque flow archives.
Integrations to ERP, identity, data warehouse, and downstream systems are designed before configuration starts — not bolted on at UAT. iPaaS where appropriate, native connectors where they exist, custom middleware only where it's warranted. Integration tests run in CI, with explicit rollback for every release.
Quarterly release-wave management, license-and-cost optimization, governance reviews, and roadmap planning. The platform compounds value when it has a continuous owner; we run it under a published SLA, or hand off to your team with the runbook and 90-day shadow period.
Capabilities
Stack
Selected work
−38%
month-end close timeReplaced two legacy ERPs with D365 F&O across North America and Europe. SOX-compliant financial close, multi-currency consolidation, and integrated EAM. Phased rollout under 14 months, zero unplanned downtime.
14 months
+47%
first-call resolutionReplaced a 9-year-old Service Cloud org with a re-engineered architecture. Omnichannel routing, knowledge articles tied to call drivers, and SLA enforcement at the queue level. Reduced agent training time from 6 weeks to 9 days.
8 months
−52%
ticket cycle timeReplaced ServiceNow Eureka-era instance with Vancouver. ITIL-aligned workflow redesign, HRSD module deployment, and HIPAA-aligned audit logging. Hand-off to internal team with 90-day shadowing and runbook library.
11 months
Common questions
Both, depending on the platform. We hold partner status with Microsoft (Dynamics 365 + Power Platform), Salesforce (Consulting Partner), and ServiceNow (Specialist Partner). Partner status gives us access to roadmap intelligence and direct support escalations; it does not bias our recommendations. We've recommended against deploying a partner platform when it didn't fit, and we've recommended migrating off one when the customer's roadmap had outgrown it.
Yes — and most enterprise programs require it. The integration surface between Dynamics, Salesforce, ServiceNow, and Power BI is where most projects lose value. We staff cross-platform engagements with senior architects from ATLAS plus FORGE for custom integrations, with an explicit governance frame for which platform owns which capability. No opaque hand-offs between practice silos.
Yes. Most enterprise platform estates carry 20–40% over-licensing as a result of historical decisions, license tier changes, and dormant users. We audit current entitlements, model the right-sized tier per role, and plan the migration path — including the timing constraints of vendor co-term agreements. License savings often pay for the engagement within the first year.
Phased delivery is the default. Most engagements ship in 4–8 phases with documented rollback per phase, dual-running windows where the data model warrants it, and explicit user-cohort progression. We don't do big-bang cutovers on enterprise platforms unless the existing system is unsalvageable, and we'll tell you when that's the case during the assessment.
Semantic-model-first. Per-report development is how Power BI estates accumulate technical debt. We build a governed semantic layer (composite models, RLS / OLS, calculation groups) that downstream reports consume, then enforce model ownership through deployment pipelines. The investment is real up front; the dividend is reports that don't break each other when the source schema evolves.
Continuous-upgrade-ready by default. We deploy customizations through scoped applications rather than the global scope, follow the platform's least-privilege patterns, and document upgrade impact on every custom artifact. Most of our ServiceNow clients run on the current LTS within three months of release, not three years behind. Upgrade engagements are typically 6–10 weeks.
Platform-fit assessment: 2–4 weeks, $40K–$120K. Implementation engagements: 4–14 months, $400K–$3M depending on platform mix and customer complexity. Multi-platform programs (Dynamics + Salesforce + ServiceNow + Power BI in one wave): $2M–$8M+. Managed services: $30K–$200K monthly retainer. License optimization audits: $25K–$60K standalone. Brackets published honestly so visitors self-qualify before the first call.
Related practices
Talk to us
A senior engineer plus the ATLAS department lead joins the first call. No discovery gauntlet, no junior reps, no obligation.