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Stop paying humans to copy data between systems.

Most operational work in a real business is moving information between tools. Email to CRM. CRM to ERP. ERP to spreadsheet. Spreadsheet back to email. We build the automation layer that makes that work disappear — using custom integrations and AI agents for the parts that genuinely need judgment.

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The problem

Manual workflows dominate operations. Most teams burn 30 to 50 percent of working hours on cross-system data shuffling that should not require a human — invoice intake, order routing, ticket triage, document classification, vendor onboarding, compliance documentation.

Off-the-shelf automation tools fall short. Generic Zapier-style workflows handle the easy cases and break on the realistic ones. The exceptions, edge cases, and judgment calls require either rules nobody writes or AI that nobody integrates properly.

Scaling requires more people, not better systems. When volume grows, the manual workflow grows with it. The team gets bigger to handle the same kind of work — instead of the system getting smarter to absorb the volume.

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What we do

Custom AI agents and integrations that automate the full workflow — including the parts that need judgment — with audit trails preserved and exception handling routed to humans where it matters.

Document intake and processing

Variable-format documents at scale — invoices, claims, applications, contracts, clinical notes, RFP responses. AI-driven classification, extraction, validation, and routing into the systems that act on what comes out.

Cross-system workflow automation

End-to-end workflows spanning CRM, ERP, helpdesk, M365, and custom applications. The right tool per stage — Power Automate for M365-heavy flows, Logic Apps for higher-scale or non-Microsoft, custom integrations and embedded AI where the workflow demands it.

Embedded AI agents

For the parts of the workflow that need judgment — reading email content, classifying documents, drafting responses, deciding routing — we deploy AI agents grounded in your real data, with audit trails preserved and human review for exceptions.

Power Platform + Microsoft 365 automation

For organizations standardized on Microsoft 365, we deliver the full Power Platform surface — Power Automate flows, Power Apps for the gaps Copilot does not fill, Copilot Studio agents tied to your actual workflows. Spectrum Virtual is an established Microsoft Cloud Solution Provider.

Monitoring and governance

Every automation we ship runs under observability — flow runs, error rates, latency, cost. Failures alert. Drift gets caught. Automation that quietly broke six weeks after launch is a failure mode we do not ship.

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Business outcomes

Hours per week reclaimed across teams

Manual workflows typically consume 5 to 20 hours per week per affected team member. Most automation programs reclaim the majority of that time within the first phase.

Capacity added without headcount

When the system absorbs the volume, the team does not need to grow proportionally with the business. The compounding value across years is substantial.

Backlog reduction

Workflows that were chronically backed up get caught up — and stay caught up. Customers, employees, and partners experience faster response times.

Error rate reduction

Automated workflows produce fewer errors than manual ones. The compliance, audit, and customer-experience benefits compound.

Measurable ROI

Hours saved, error rates reduced, throughput improved — instrumented from day one. The ROI conversation with your CFO is not theoretical.

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How it is priced

Engagement model
AI Integration & Workflow Automation

Workflow Audit: fixed-price, $10,000 to $25,000. 1 to 2 weeks. Output is a prioritized roadmap of automatable workflows, each scored for impact and effort, with fixed-price build scope per phase.

Phase 1 build (3 to 5 priority workflows): typically $25,000 to $75,000 with 3 to 6 weeks to ship. Subsequent phases scoped and priced to the workflows in scope. Ongoing managed automation operations available as monthly retainer.

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AI Integration & Workflow Automation — frequently asked questions

The questions we get most often, answered. If yours isn't here, ask it on a 30-minute call — we answer the awkward ones too.

What's the difference between workflow automation and AI consulting?
Workflow automation moves information between systems using rules — Power Automate flows, Logic Apps, custom integrations, scheduled jobs. AI consulting introduces judgment into the workflow — reading documents, classifying intent, drafting responses, reasoning over knowledge. Most real engagements need both. We build automation that runs on rules where rules work, and drops in AI components only where AI earns its keep. We don't over-AI an automation problem.
Do you only work in the Microsoft Power Platform?
No. Power Automate + Logic Apps are great when M365 is the right answer. We also work with Zapier, n8n, custom integrations against any SaaS API, browser automation when the API doesn't exist, and our own agentic AI components running on the Skyview private cloud. We pick the right tool per workload — and we tell you why.
How long does the first automation take to ship?
Typically 2–3 weeks from kickoff to first production-shipped automation. The first phase audit takes a week, then we build, test, and deploy the highest-priority automation while continuing to scope the next ones. Most clients are running 3–5 production automations within their first month.
How do you measure ROI on automation?
Every automation ships with instrumentation: hours saved per run, error rate reduction, throughput improvement, latency, cost. We measure against the baseline collected during Phase 1 audit. The ROI conversation is concrete — not theoretical. Most automation engagements pay back in the first quarter.
What happens to automations that quietly break later?
That's the failure mode we structurally do not ship. Every automation runs under observability — flow runs, error rates, drift detection. Failures alert. Dependency changes get caught. Under our managed-automation-operations engagement, we maintain, refactor, and refresh automations as the underlying systems change. That's the difference between an automation practice and a one-off Power Automate flow.
How long does a Skyview Labs AI engagement take?
Most production AI engagements ship in 4 to 12 weeks from kickoff. Discovery Engagements run two weeks. The build phase runs two to eight weeks depending on scope. Integration and testing run one to two weeks. We don't run multi-year transformation engagements — we ship working software early and iterate against real usage.
How much does AI consulting cost?
Discovery Engagements are flat-fee, typically $10,000–$25,000 depending on organizational complexity, and credited against a build engagement that starts within 90 days. Custom build engagements are fixed-price for the scope defined in Discovery — most fall in the $50k–$500k+ range depending on scope. Private AI cloud hosting and Managed AI Operations are monthly engagements priced to workload, typically bundled with the build for a single predictable monthly cost. No per-token surprises.
Where will my data be hosted?
By default, in our private AI cloud — Tier III TierPoint colocation facilities in Marlborough, MA (MRL-01) and Chicago, IL (CHI-01), with regional capacity at our Connecticut office (CT-01). For workloads with strict data sovereignty, ITAR, or air-gapped requirements, we install the entire Skyview stack on-premises in your own data center. Every engagement includes a written data flow document covering every component, every integration, and every external API call.
~/contact $ open

Show us where your team is bleeding hours

Most automation engagements pay back in the first quarter. The hard part is knowing which workflow to start with — that is exactly what the audit produces.

Book an Automation Audit