Build the system around the workflow
Mopshy designs and implements AI-powered systems for lead response, customer service, CRM, integrations, and operations — starting with the business process, not a generic AI bundle.
Most businesses do not need another AI tool
The expensive problem is usually the workflow between tools and people: a lead arrives, someone notices it, somebody copies data, another person follows up, and the next step depends on memory. The same pattern appears in scheduling, onboarding, service, reporting, and back-office work.
Mopshy starts with that operating reality. We identify the bottleneck, decide what should be automated and what should remain human, connect the required systems, and define how the result will be measured.
Good automation is not the most autonomous system. It is the system that reliably handles the right work, exposes uncertainty, and hands the right context to a human when judgment is required.
What we build
Process mapping
We map the workflow, handoffs, systems, delays, failure points, and baseline before deciding what should be automated.
AI agents
Voice, chat, email, and intake agents that handle defined tasks and escalate to humans with the right context.
Workflow automation
Lead response, quoting, onboarding, follow-up, scheduling, reporting, and repetitive operating work.
Systems integration
Connect CRM, phone, calendar, billing, databases, inboxes, and other approved systems so information moves once.
Monitoring and support
Managed plans can include logging, alerting, workflow fixes, tuning, integration maintenance, and agreed support.
Measurement
Define the operating metric before launch so the system can be evaluated against a real baseline.
How the work runs
01
Map the workflow
Start with the process that creates the most delay, manual work, missed follow-up, or operating friction. We document the current state and decide whether automation is justified.
02
Design the system
Define triggers, data flow, integrations, human checkpoints, guardrails, failure handling, and the measurable before/after target.
03
Build and validate
Implement the approved scope, test normal and edge cases, validate handoffs, and confirm what the system can and cannot do.
04
Launch and improve
Launch with clear ownership. Managed engagements can add monitoring, tuning, fixes, reporting, and agreed optimization after go-live.
What you actually receive
The implementation should be understandable, measurable, and operable after launch — not a black box that only makes sense to the person who built it.
- Documented current-state workflow and approved scope
- Defined success metric and acceptance criteria
- Production workflows with appropriate error handling
- AI agents with guardrails and human-escalation paths where required
- Approved integrations across the systems in scope
- Logging, monitoring, and operating documentation appropriate to the engagement
- Team walkthrough and handoff
- Ownership and continuing support terms documented in the signed engagement
Clear starting points
A focused Workflow Sprint starts around $2,500. A connected Growth Automation System starts around $6,500 plus managed support where required. Broader AI Operations engagements start around $12,500, and complex enterprise work starts around $25,000.
AI Front Desk implementations start around $1,500 setup plus $497 per month. Final pricing is driven by workflow scope, integrations, volume, data, risk, and ongoing operating responsibility.
Frequently asked
- What does an AI automation agency actually do?
- An AI automation agency maps how work moves through a business, then designs, builds, integrates, and supports systems that remove repetitive steps. That can include lead response, voice or chat agents, CRM workflows, scheduling, document handling, reporting, and the handoffs between those systems.
- How much does an AI automation agency cost?
- Mopshy focused workflow projects start around $2,500. Connected growth systems start around $6,500, broader AI operations systems start around $12,500, and complex enterprise work starts around $25,000. AI Front Desk implementations start around $1,500 setup plus $497 per month. Final pricing depends on scope and operating responsibility.
- How long before we see results?
- Timeline depends on the workflow, integrations, access, testing, and approval requirements. We prefer to sequence a focused, measurable workflow first rather than commit to an arbitrary deadline before the technical constraints are known.
- Do we own what you build?
- Where practical, we prefer client-owned accounts, source-controlled delivery, documented integrations, and a clear handoff. Exact ownership, licenses, reusable background tools, and continuing support obligations are defined in the signed engagement documents.
- What if we already use Zapier, Make, or n8n?
- We start by understanding what already works. Simple, reliable automations can stay. We focus on the gaps: brittle chains, missing observability, poor handoffs, duplicated data, unstructured inputs, or workflows that need stronger controls.
- Do you work with businesses outside the US?
- Mopshy primarily positions its public SMB offer for U.S. service and operating businesses. Other markets can be scoped when the workflow, support, commercial, and compliance requirements make sense.
Hiring an AI automation agency without wasting a quarter
Most failed automation projects fail before any code is written — in scoping. The business asks for 'AI', the vendor delivers a chatbot, and six weeks later nobody can point to an hour saved. The way to avoid that is to treat the engagement as an operations project that happens to use AI, rather than an AI project that happens to touch operations.
Step 1
Start from the bottleneck
Pick the process where information most often gets stuck or delayed. That is almost always where the payback is, regardless of how unglamorous it looks.
Step 2
Insist on a written audit
Before any build, you should have a document listing each automatable process, the hours it currently costs, and the estimated payback. That artifact is what makes the decision defensible.
Step 3
Ship one thing, measure it
One workflow in production beats five in a roadmap. Measure the result for two weeks before approving the next phase.
Local service businesses
HVAC, dental, legal, real estate, and med spas losing booked revenue to slow lead response and manual scheduling.
Growing SMBs
Teams at 10-100 staff where coordination overhead is growing faster than revenue.
Mid-market operations leaders
Owners of a process that spans several departments and several systems that were never designed to talk.
Frequently asked
- Is an AI automation agency the same as a Zapier consultant?
- Overlapping but not the same. A Zapier consultant connects apps. An AI automation agency also handles unstructured input, conversation, decisioning, and the production concerns — logging, retries, escalation — that no-code tools leave to you.
- How technical does our team need to be?
- Not technical at all. The systems are designed to be operated by the staff already doing the work, and training is part of handover.
- What happens if our tools change?
- Integrations are built as replaceable adapters, so swapping a CRM or phone provider means changing one layer rather than rebuilding the workflow.
Related
- Agency pricing
Published ranges for pilots, builds, and retainers.
- How to choose an agency
Six evaluation criteria and the red flags.
- Agency vs. in-house
Year-one costs and the crossover point.
- Case studies
Real engagements, real numbers.
- Pricing
What an engagement looks like.
- Talk to us
30-minute strategy call.
Free workflow review
Find the workflow worth automating next
Bring one process that is slow, repetitive, expensive, or leaking opportunities. We will map the current workflow, identify the bottleneck, and tell you whether automation is worth pursuing.
No obligation. If automation is not the right answer, we will say so.