Customer cloud
Align the deployment with your approved cloud account, region, network, and environment strategy.
A guided workflow assessment helps your team capture recurring work, review supporting files, answer targeted follow-up questions, and see what to automate first and why.
From structured intake and evidence review to ranked opportunities and implementation briefs
The scanner captures company context, recurring tasks, bottlenecks, approvals, tool usage, and business impact in a guided flow so the analysis starts with real operating detail.
Customers can upload PDFs, screenshots, CSVs, notes, and process documents. The system reviews that evidence and asks focused follow-up questions when important details are missing.
The scanner maps the current workflow from intake answers, evidence summaries, and follow-up answers so recommendations reflect how the process really runs today.
Every opportunity is ranked for impact, effort, feasibility, priority, and confidence, then matched to the right solution approach so simple work is not overcomplicated.
The main output is a report that summarizes the top recommendations, expected value, confidence, quick wins, strategic projects, and a phased implementation roadmap.
For the strongest opportunities, the scanner can generate a practical implementation brief that helps move from recommendation to delivery planning.
The audit does more than find ideas. It identifies which intelligence pattern each workflow actually needs so you do not overbuild simple work or underbuild strategic opportunities.
Each layer does what it does best, and the audit tells you where a workflow belongs inside the stack.
For every high-value candidate workflow, we recommend the right delivery pattern and explain why.
Deterministic steps and rule-based workflows
Language tasks that need reasoning but not custom training
Tasks that must use current internal knowledge
High-volume narrow tasks where accuracy and cost matter
Multi-step work spanning multiple systems and actions
Map the actual process, systems, bottlenecks, and manual handoffs.
Document where work starts, stalls, loops, and requires human effort.
Quantify value, dependencies, implementation effort, and operational risk.
Choose workflow automation, prompt-based assistance, knowledge search, specialist models, or a multi-step AI workflow.
Define evaluation criteria, success thresholds, and rollout guardrails.
Translate the strategy into quick wins, high-impact projects, and strategic builds.
Private Edition
Private Edition is a customer-controlled deployment option configured around your cloud, identity, data, and AI governance requirements—without forcing sensitive workflow material into a shared operating model.
Align the deployment with your approved cloud account, region, network, and environment strategy.
Connect your identity provider, SSO, roles, and approval boundaries to the scanner experience.
Keep scanner records and supporting files in customer-approved storage with defined residency and access controls.
Apply customer-defined retention schedules, archival rules, and deletion workflows to submitted materials.
Route access activity, audit events, and operational logs into approved monitoring and review processes.
Restrict AI processing to approved model endpoints, gateways, regions, and providers, including customer-managed endpoints where required.
Customer materials
Your organization retains ownership of all data, documents, process descriptions, workflow artifacts, and other materials it provides. Those customer materials do not become DeepSpeed AI product IP.
Ownership options
Private Edition can be licensed in more than one way. The following options are not included by default and are scoped separately.
Architecture, security controls, commercial rights, and delivery boundaries are defined together before implementation.
The output replaces vague automation brainstorming with structured, evidence-backed decisions
From guided intake to roadmap and implementation brief
Capture the business function, team, tools, and operator context around the workflow.
Document recurring tasks, owners, handoffs, frequency, and where work slows down.
Capture delays, rework, error-prone steps, labor assumptions, and business impact.
Add documents, screenshots, exports, and notes that show how the workflow actually runs.
Answer targeted follow-up questions based on workflow gaps and evidence summaries.
Map the current workflow, including triggers, approvals, exceptions, and outputs.
Score the best opportunities and generate a prioritized report with roadmap and confidence notes.
Generate a delivery-ready brief for the best opportunity when a team wants the next level of detail.
How teams can move from workflow confusion to clear automation priorities
Invoice intake, routing, approvals, and exception handling were spread across inboxes, PDFs, spreadsheets, and ERP updates. The team knew the work was painful but lacked a structured way to prioritize where automation would actually help.
The scanner captured the current process, reviewed supporting evidence, generated follow-up questions, and surfaced the strongest opportunities around invoice extraction, approval routing, and exception triage.
"The scanner made the first priority obvious instead of leaving us with another long list of ideas." — Illustrative finance operations scenario
Customer onboarding depended on manual handoffs between sales, implementation, support, and finance. Delays came from missing documents, scattered notes, and inconsistent follow-up.
The scanner mapped the onboarding workflow, highlighted where information stalled, and separated standard automation opportunities from workflows that needed more flexible AI support.
"Instead of debating where the problem was, the scanner showed the handoffs, bottlenecks, and best starting points." — Illustrative onboarding operations scenario
The team had a mix of repetitive triage, document lookup, and exception-heavy coordination work, but every conversation was collapsing into vague talk about building an agent.
The scanner ranked the work conservatively and classified each opportunity into workflow automation, AI extraction, knowledge-backed support, or multi-step automation only when the workflow truly needed it.
"The biggest win was clarity: what needed automation, what needed retrieval, and what was not a good fit yet." — Illustrative support operations scenario
What happens after someone starts the guided workflow
Common questions about the Automation Opportunity Scanner
Run the guided intake, upload supporting evidence, and turn workflow pain into a ranked report with a clear next step.