Enterprise Technology Services

Most cloud migrations fail because companies rush the planning phase. We invest 4-6 weeks in a rigorous assessment covering current-state analysis, dependency mapping, application profiling, security and compliance review, cost baseline, and target cloud selection. That assessment becomes a migration roadmap with phasing, rollback paths, operating model changes, and measurable success criteria. Foreign enterprise buyers also worry about offshore delivery risk, so every migration includes timezone-aligned ceremonies, named technical owners, weekly risk reviews, and transparent dependency tracking.

Our methodology reduces migration risk by 80% by combining proven tools such as CloudEndure, AWS DMS, Azure Migrate, and GCP migration tooling with industry-specific runbooks. For a typical mid-market company with 200+ applications and 5-10TB of data, we execute in 6-12 months with a 99.99% uptime target. We plan cutovers around business calendars, regulatory reporting windows, and regional data residency constraints.

Post-migration, we optimize for cost and performance instead of declaring victory at cutover. We usually find $500K-$2M in annual savings through reserved instances, spot capacity, storage tiering, right-sizing, and architectural tuning. The final handoff includes dashboards, budget guardrails, incident playbooks, and knowledge transfer so your team can operate the estate confidently.

Great software is not simply built; it is evolved through evidence. We start with low-fidelity prototypes and technical spikes to validate the core thesis in 4-8 weeks. Only then do we invest in full engineering. This saves clients 20-30% of development cost by de-risking unknowns early, clarifying integration complexity, and exposing operating constraints before they become expensive.

Our stack is intentionally proven: React for web, React Native or Flutter for mobile, Node.js or Python for backend, PostgreSQL for data, and Redis for caching. We avoid exotic frameworks unless the business case is clear. That means easier hiring, faster onboarding, and lower maintenance burden after launch. We also ship with architecture decisions, test strategy, observability, and security controls documented.

A typical mid-complexity custom platform takes 4-6 months and costs $250K-$600K. You receive full source code, tests, deployment runbooks, and structured knowledge transfer. Post-launch, your team owns the code; we provide support, not lock-in.

Most breaches are caused by process gaps as much as technical flaws. We audit your infrastructure, applications, APIs, data flows, employee access, vendor management, and incident response. A typical assessment finds 40-60 medium or high-risk issues. We prioritize by business impact and help fix the critical ones in 90 days, with clear ownership and board-ready risk reporting.

For ISO 27001, GDPR, HIPAA, SOC 2, and PCI-DSS, we handle the heavy lifting: evidence collection, policy documentation, control implementation, and audit preparation. We have guided 20+ companies through successful first-time certifications. Average time to ISO 27001 certification is 6-9 months depending on current state and executive sponsorship.

For high-risk clients, we deploy a 24/7 SOC with continuous monitoring, threat detection, incident response, and forensics. Typical cost is $8K-$15K per month depending on infrastructure complexity. The result is a reduction in mean-time-to-detection from days to hours, plus a measurable reduction in unmanaged risk.

Most data projects fail because they lack clear business outcomes. We start with your KPIs: what decision should become faster, what forecast should become more reliable, and what metric should move. We build pipelines and ML models around those outcomes, not because AI sounds impressive. This ROI focus means 70% of our models are adopted; the industry average is closer to 15%.

Our typical data platform journey runs in phases: months 1-2 audit and strategy, months 3-6 warehouse and BI platform, months 7-12 advanced analytics and ML. Cost ranges from $150K-$500K depending on data volume, model complexity, and governance needs. Typical ROI is 200-400% within 18 months when the operating teams adopt the workflows.

We operationalize data infrastructure for durability. That means automated tests, data quality checks, monitoring, alerting, lineage, access controls, and runbooks. Your data team inherits a production-grade system, not a fragile notebook that only works when one person remembers the steps.

We have seen multi-million dollar ERP failures caused by over-customization. Our approach is practical: implement 70% standard, customize 20%, and accept 10% controlled workarounds. This keeps cost lower, timeline more predictable, and the upgrade path clearer. For a mid-market SAP S/4HANA implementation with 500+ users, we target a 9-12 month timeline and $800K-$1.5M budget.

Change management is where ERP projects truly win or fail. We embed a dedicated change champion on your side, run executive steering committees, plan user training in phases, and measure adoption metrics. Typical user adoption rate is 85%+ versus an industry average around 45%.

Post-go-live, most ERP implementations underperform because attention moves elsewhere. We run a 90-day stabilization phase covering bug fixes, performance tuning, user support intensification, and quick-win optimization. Then we transition to sustainment at 3-5 hours per week so the system keeps improving after launch.

Strategy documents are worthless if they sit on a shelf. We facilitate 4-6 week strategy engagements with your executive team, board advisors, and technology leaders. The output is an 18-month roadmap with funding, sequencing, business cases, risks, and success metrics. The roadmap becomes the reference point for every major technology decision.

A typical digital transformation strategy costs $40K-$80K and involves 15-20 workshops. The ROI comes from preventing bad decisions and accelerating good ones. Clients typically save $500K-$2M by cancelling misaligned initiatives, sequencing platform work correctly, and choosing vendors with a clearer view of total cost.

We often stay engaged post-strategy as embedded advisors for 20-40 hours per month, coaching CTOs through execution, adjusting the roadmap based on learning, and evangelizing change across the organization. This continuity is why 92% of our strategies actually get executed.