Information arrives everywhere
Important details are split across forms, inboxes, meeting notes, and spreadsheets.
AI workflow automation for growing teams
Turn repetitive work into reliable AI workflows.
DeepSpeed AI helps agencies and professional-service firms map bottlenecks, prioritize automation opportunities, and build practical systems around the tools their teams already use.
- No system access required
- Structured opportunity report
- Built around your existing tools
Client intake → project handoff
2 min agoNew inquiry: Northstar Studio
Captured once
- Service
- Brand strategy
- Budget
- $12k–$18k
- Target start
- September
Needs a person
Approve scope and final pricing before anything reaches the client.
Awaiting reviewIllustrative interface built with sample data—not a customer result.
A practical place to begin
Start with the work your team keeps repeating.
Client intake → proposal → project handoff is close enough to revenue to matter, but narrow enough to improve without replacing your entire operation.
Proposals restart the same work
Your team copies information, searches for past language, and asks the same follow-up questions.
Delivery begins with missing context
Approved work is entered again, while the delivery team still has to fill in the gaps.
The goal is not “add AI.” It is to turn that chain of handoffs into one defined workflow with clear inputs, approvals, and exceptions.
A concrete example
See what one focused automation could look like.
One source of truth, useful automation between steps, and a person in control of every consequential decision.
- 01 Inquiry arrives in an inbox
- 02 Details are copied into a document
- 03 Proposal is assembled manually
- 04 Accepted work is entered again
- 05 Delivery asks for missing context
- 01 Inquiry is captured once
- 02 Missing details are flagged
- 03 A proposal draft is prepared
- 04 A person reviews and approves
- 05 Approved context moves to kickoff
The automation handles
Capture, required-field checks, draft preparation, routing, and record creation.
Your team keeps control of
Pricing, final approval, unusual requests, exceptions, and client decisions.
This is an illustrative workflow built with sample data, not a customer result. Every paid workflow is scoped around the firm’s actual tools, rules, and approval points.
Choose the right starting point
Understand the opportunity before investing in the build.
Start with the existing scanner, explore a deeper assessment when the workflow needs more analysis, or move into a focused implementation when the opportunity is clear.
Free starting point
Automation Opportunity Scanner
Capture recurring work, bottlenecks, tools, approvals, and supporting evidence in a structured assessment.
- Map the current workflow
- Rank automation opportunities
- Generate a report and next-step brief
Deeper analysis
Focused Workflow Assessment
Turn workflow evidence into a clear opportunity map, implementation priorities, and a practical roadmap.
- Current-state workflow map
- Impact and feasibility review
- Implementation recommendations
Implementation
Custom Workflow Build
Build and integrate a focused automation around the workflow, tools, controls, and review points that matter.
- Working prototype or production build
- Human review at key decisions
- Documentation and implementation plan
Product foundations
Built from experience in demanding product environments.
DeepSpeed AI brings lessons from identity verification, content operations, and AI-assisted learning to every automation engagement.
Identity and candidate integrity
Integrity Lens
Biometric identity verification, candidate-integrity workflows, and AI-assisted interview tooling.
Visit site
Content operations
Git Plumbers
AI-assisted content creation, publishing workflows, and technical SEO tooling.
Visit site
AI-assisted learning
Sage Stepper
Document-to-learning workflows with interviews, progress tracking, flashcards, and quizzes.
Visit siteThe working process
From a messy workflow to evidence you can act on.
Every stage reduces uncertainty. At the end, continue, revise, or stop based on what the prototype actually shows.
- 01
Identify the workflow
Define the repeated work, who owns it, the current tools, and the visible friction.
- 02
Scope the smallest useful version
Map the inputs, decisions, approvals, exceptions, and the one result the pilot must produce.
- 03
Build and test
Build the agreed prototype and test it with representative information and user feedback.
- 04
Review before expanding
See what works, what still needs a person, and what production use would require before deciding what comes next.
Straight answers
Questions worth asking before we talk.
The first conversation should help you decide whether this is useful—not create pressure to buy.
Ask a different questionWhat types of firms is this for?
DeepSpeed AI is best suited to small and growing agencies and professional-service firms with repetitive work across email, documents, forms, spreadsheets, and project tools.
Which workflow should we start with?
Client intake to proposal to project handoff is a strong first candidate. Client reporting, internal QA, repeated document retrieval, and approval loops can also fit when the pain is specific and observable.
Do we need to replace our current software?
No platform replacement is assumed. The first step is to see whether a useful improvement can work with your current tools. Integration limits and risks are identified before the pilot.
Do you need access to all our systems?
No system access is required to use the scanner or discuss an opportunity. An assessment or build may require representative examples and limited access agreed in advance. Broad access should always have a defined reason.
Is this a software subscription?
No. The initial offer is a fixed-scope implementation service. If a prototype needs ongoing hosting, third-party APIs, or AI usage, those costs are explained before production use.
Can you guarantee ROI or cost savings?
No. DeepSpeed AI commits to the agreed deliverable, not a financial outcome it cannot control. When suitable baseline information exists, the result can be measured against it.
What product experience informs DeepSpeed AI’s approach?
DeepSpeed AI draws on product work in identity verification, content operations, and AI-assisted learning. These examples show relevant technical experience and are not presented as current customer engagements.
Do you take large enterprise transformation programs?
The current offer is designed for focused workflow assessments and implementations. Large transformation programs that require a broad delivery organization are not the primary engagement model.
A practical first step
Find the first workflow worth automating.
Use the guided scanner to capture the workflow, the people and tools involved, and the evidence needed to prioritize a useful automation opportunity.
Start the Free Scanner Guided intake · Evidence review · Prioritized report