Connect + interpret
Integrate your existing tools and normalise the data into one business memory.
Back to home01 02 03 Find the real break Make it runnable No fake certainty Request Diagnostic Scope Workflow Plan System Set Up Product Ops Discuss Retainer Scope Company System
Services
MDS Services.Workflow systems for checked execution.
We do not sell AI theater. We map the workflow, build the system only where the work deserves software, and keep every commercial claim inquiry-gated until proof clears.
The entry wedge
Command Centers come first.
We do not start by replacing your software. A Command Center connects and interprets the tools you already run - exports, APIs, PDFs, emails, spreadsheets, and owner knowledge - then shows the numbers, explains what changed, flags what matters, recommends action, and routes work.
Report + recommend
Show what changed, flag what matters, and recommend the next action.
Govern + route
Approvals, audit notes, and rollback plans keep risky work from moving silently.
Why MDS
What MDS sells.
Workflow-first
We start with the work itself: handoffs, follow-up, proof gaps, quality gates, and the point where execution breaks.
When software needs operations
Support, releases, customer feedback, proof artifacts, and launch gates turn a codebase into a product a business can actually run.
Founder-scoped pricing
Pricing stays inquiry-gated until final commercial terms and payment routes are approved. No fake proof, fake client logos, or invented outcomes.
Pick your path
Pick the system that matches the workflow.
Start small when the map is unclear. Build deeper only when the workflow, data, owner, and proof gates are obvious enough to justify it.
01Start hereFounder-scoped
Workflow Diagnostic
Map the workflow before anyone sells you automation.
Inquiry-gatedScoping engagement
Best when
You know the work is messy, but the real automation surface is not obvious yet.
- Map scattered work and brittle handoffs
- Identify repeatable work that should become software
- Define the execution system and implementation plan
- Includes AI audit where the workflow needs one
Output
A practical workflow map, bottleneck read, and next-system recommendation.
02One systemFounder-scoped
Single Workflow System
Turn one painful repeatable workflow into owned software.
Scoped after reviewScoped build
Best when
One intake, follow-up, reporting, or fulfillment lane is costing too much attention.
- One high-value workflow rebuilt as software
- Forms, logic, storage, reporting, and proof capture
- Website + lead engine where conversion is part of the workflow
- Clear handover with source and operating notes
Output
A scoped workflow system with source, operating notes, and proof capture.
03Department layerFounder-scoped
Multi-Workflow Command Center
Connect multiple workflows into one command center.
Scoped after reviewDepartment or function build
Best when
The work spans people, tools, handoffs, reporting, approvals, and recurring decisions.
- Connect multiple workflows into one operating layer
- Workflow automation pack with role ownership
- Content engine and reporting where needed
- Quality gates for repeatable execution
Output
A multi-workflow operating layer that tells the team what changed and what to do next.
04Product opsFounder-scoped
Product Operations Setup
Make a product easier to run after the code ships.
Scoped after reviewPer-product operating setup
Best when
A real product needs releases, support, customer feedback, proof notes, and launch gates.
- Rules, memory, review gates, approvals, and proof notes
- Support, releases, customer feedback, and work queue under one operating layer
- Growth loops, upsells, proof artifacts, and launch gates
- Known constraints surfaced instead of hidden; status synced to the ledger
Output
A product operating setup with rules, memory, review gates, and status discipline.
05Keep it runningFounder-scoped
Operating Retainer
Operate, improve, and extend the system after launch.
Scoped monthlyOngoing monthly
Best when
The system is valuable enough that maintenance, proof capture, and improvements matter.
- Maintain and monitor workflow systems or product operations
- Ship improvements, fixes, and releases
- Keep proof capture and operating docs current
- Extend the system as workflows change
Output
A scoped monthly operating lane for releases, fixes, documentation, and workflow drift.
06Company OSFounder-scoped
Company Operating System
Coordinate several command centers across the company.
Custom scopeCustom scoped engagement
Best when
The business needs an owned operating system, not scattered AI tools or dashboard theater.
- Starts with a Command Center over your existing stack - no rip-and-replace
- Departmental operating layer: workflows, rules, memory, QA gates
- Governed by approvals, audit notes, and rollback plans
- An operating system you own, not AI-employee theatre
Output
A custom company operating layer governed by approvals, audit notes, and rollback plans.
Not sure where the workflow breaks? Request a workflow diagnostic and we will scope the useful next step.
Or see workflow systems built for your industry: browse solutions by industry.
Calculator // workload estimate
Estimate model-call exposure before scoping the build.
This local-only calculator compares a conventional all-AI routing pattern with the MDS pattern: use AI for judgment, then route repeatable steps to normal software. It is an estimate, not a quote or a promise.
[ESTIMATE ONLY // NON-BINDING]
Typical all-model API path
Illustrative monthly model fees when every step becomes a paid model call.
- Monthly model calls
- 8,660
- Modeled steps
- 4 / workflow
MDS rules-first path
Estimated monthly model fees when only one judgment step uses AI.
- Code executions
- 6,495
- Model fee per code execution
- $0
Modeled difference
Potential model-fee exposure avoided in this scenario, not guaranteed savings.
Assumption shown
One judgment step per workflow is routed to AI in the MDS pattern. Every workflow step is routed to AI in the comparison pattern. Actual architecture, model choice, volume, hosting, and support scope require founder review.
NON-BINDING ESTIMATE ONLY. This tool runs only in your browser and does not submit data. $0 refers only to model fees for the repeatable code executions shown above—not hosting, integrations, maintenance, support, total operating cost, or guaranteed savings. It does not create pricing, payment readiness, booking, or savings claims. Binding scope and pricing remain inquiry-gated until approved.
Start Diagnostic[RAG // DATA.PRIVACY // ENCRYPTED]
REFERENCE ARCHITECTURE // NOT ACTIVE ON THIS SITE
A private retrieval boundary, mapped before implementation.
This conceptual blueprint shows the controls a client-specific RAG system would require. The marketing site does not accept files, create indexes, or run retrieval pipelines.
Client filesScoped inputs enter an isolated project boundary.
ExtractionApproved parsers produce reviewable text segments.
Private indexEncryption and access controls are implementation requirements.
Reviewed outputRetrieved context stays bounded and human-reviewable.
Encryption is shown as a design requirement, not a verified runtime claim. Storage, tenancy, retention, model hosting, and access policy remain inquiry-gated.
Operational blueprint
The questions serious operators ask before they trust a build.
No fake liveness. No hidden checkout claim. No provider state treated as real until the owning dashboard proves it.
[OWNERSHIP // SOURCE HANDOFF]
For scoped builds, the handoff is designed around owned source, documented setup steps, and clear limitations. Hosting, support, and managed operations are separate decisions, written into the scope before work begins. If MDS operates the system after launch, that is a managed ops agreement, not hidden platform rent.
[QUALITY // HUMAN REVIEW]
AI is used where judgment helps: reading messy inputs, drafting options, ranking exceptions, or summarizing context. Repeatable execution is handled by normal software rules. Risky actions are designed with proof checks and approval gates, and anything not provider-verified stays labeled gated or unknown.
[STACK // PROJECT FIT]
MDS builds modern web and workflow systems with source-controlled code, typed interfaces, structured data, and testable release gates. The exact stack depends on the workflow. Public provider states such as auth, database, payments, analytics, and deployment remain unknown until verified by the owning provider dashboard.
[SYS.SERVICES // PRICING: INQUIRY-GATED // PROVIDERS: UNKNOWN UNTIL VERIFIED]
Ready to fix the workflow?