AI and automation in real operations.

These are named, sourced examples-mostly from large companies, because that is where public, verifiable case studies exist. The size is not the point; the operating pattern is. Under each case, we translate that pattern to a practical small-business scale. Vendor-published results should still be read critically: these are the companies' own numbers, not independently audited results.

Papaya Global

A lean team orchestrating global marketing

Connected HubSpot, Workato, Gong and AWS so customer and campaign data could trigger repeatable processes.

Scaled complex operations with a small team

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AT SMB SCALEA small operations team juggling five tools can get much of this benefit by connecting just two-such as the CRM and invoicing or scheduling-so information is not typed twice.
SleekFlow

Sales and support across six regions

Used a shared CRM to segment leads, assign owners and engage new customers quickly.

Response time reduced by over 80%

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AT SMB SCALEIf leads sit in a shared inbox, a basic CRM with automatic ownership and follow-up can capture much of this win without an enterprise rollout.
DoorDash

Voice self-service for high-volume support

Built and tested a generative-AI contact-centre workflow with automated evaluation.

50x testing capacity

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AT SMB SCALEA small business does not need 50× testing capacity. It needs one assistant answering the ten most common questions correctly in a controlled test before speaking to customers.
Chime

Agents spending time writing call summaries

Added AI-generated summaries so agents could focus on the customer conversation.

250,000+ hours saved annually

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AT SMB SCALEA three-person team spending twenty minutes after each call can use reviewed AI call summaries for the cost of an ordinary software subscription.
C.H. Robinson

Tens of thousands of emailed requests

Used AI to turn routine shipment emails into structured, actionable workflows.

Response time moved from hours to seconds

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AT SMB SCALEAny business receiving quote or order requests by email faces a smaller version of this problem: turn unstructured messages into a consistent queue and keep exceptions human.
Presidio

AI adoption without enough training

Paired Copilot rollout with more than 60 training videos and a collaboration site.

About 1,200 hours saved per month

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AT SMB SCALEThe transferable lesson is training. A five-person team may need a short walkthrough and a week of side-by-side use more than it needs another tool.
Forethought

AI support costs rising with usage

Changed model-serving architecture to improve efficiency while supporting more customers.

Inference costs reduced by up to 80%

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AT SMB SCALEThe cheapest appropriate model or tool usually beats the flashiest one. Match capability and risk to the task instead of buying maximum complexity.
i-Tom Solutions

Support volume reached 600 inquiries per day

Deployed a controlled generative-AI assistant for scalable and out-of-hours support.

Hundreds of inquiries handled daily

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AT SMB SCALEOut-of-hours coverage for basic questions can be a bounded first project when unclear requests are routed to a person.
Toyota Motor North America

Modernizing a high-volume contact centre

Used conversational AI and a cloud contact-centre platform to improve routing and self-service.

20% lower call handling time

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AT SMB SCALESmarter call routing matters with two phone lines as well as two hundred. It is primarily a workflow and ownership problem.
Genpact

Checking employee records against client rules

Built a controlled AI workflow for background-check validation while retaining final human review.

Manual verification reduced by up to 90%

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AT SMB SCALEInvoice matching and form checks fit the same controlled pattern: AI prepares or flags; a qualified person approves the consequential result.
AIA Group

Summarizing long customer histories

Used service copilots to summarize cases and conversations, draft replies and help representatives handle more work.

Less searching and manual summarizing

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AT SMB SCALEIf staff repeatedly search old emails and notes to reconstruct customer history, reviewed summaries can remove low-value searching.
Air India

Resolving routine airline questions at scale

Built an AI assistant that handles booking, refund and travel questions, escalating the small remainder.

40,000 queries handled daily

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AT SMB SCALEA service business handling repetitive booking, hours, pricing or status questions can use the same routine-question and human-escalation pattern at much smaller scale.
Epilot

Turning long customer emails into usable work

Applied AI to summarize incoming energy-service emails and accelerate customer communications.

Email handling time reduced by 87%

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AT SMB SCALELong, messy customer emails are a strong candidate when the task is repetitive, the expected output is clear and a person can review it.
Lenovo

Helping support agents resolve issues faster

Used historical service interactions for answer suggestions and automated post-call summaries.

15% higher agent productivity

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AT SMB SCALEEven one support person can search resolved tickets and approved answers instead of digging through old email threads.
Parloa

Voice automation across languages

Built voice-first service experiences while moving human agents toward higher-value oversight roles.

Faster, more accurate call handling

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AT SMB SCALEToronto businesses serving multilingual customers can explore voice and translation support, while keeping sensitive or unclear conversations with people.
Festo

Making technical support knowledge easier to use

Applied generative AI to support industrial teams and customers with faster access to technical information.

Faster, smarter support services

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AT SMB SCALERepeated technical questions can become a searchable reference grounded in approved manuals and internal know-how.
Orion Health

Searching half a million internal records

Built an internal assistant that connects product documentation and prior support resolutions.

About 50 staff hours reclaimed daily

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AT SMB SCALEThe record count may be smaller, but the pattern holds whenever staff lose time finding how a similar problem was handled before.
Microsoft

Helping visitors find answers across a huge site

Orchestrated specialized agents behind one web assistant to improve speed and containment.

Up to 70% fewer human escalations

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AT SMB SCALEA carefully scoped website assistant can handle approved questions about hours, availability and policies while escalating everything else.
Vodafone

One service assistant across channels

Created a multilingual digital assistant spanning chat, messaging apps and the mobile app.

Consistent self-service across channels

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AT SMB SCALEIf customers receive inconsistent answers across phone, email, text and social messages, fix the underlying process before adding AI.
Riverty

Rebuilding a service foundation for AI

Connected engagement, self-service and case resolution before expanding automation.

AI-ready contact centre built in 68 days

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AT SMB SCALECreate a reliable way to log, own and resolve requests first. AI layered on an undefined process usually amplifies the confusion.

See which pattern applies to your business.

Reading case studies cannot tell you which pattern fits the workflow in front of you. Bring one workflow to a free call. We'll tell you honestly whether it looks like a small fix, a larger project or something not worth automating yet.

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