ProductIntel-powered consulting for small and mid-sized businesses

Turn scattered business knowledge into AI-powered workflow intelligence.

Holloway Consulting helps businesses use ProductIntel to centralize knowledge, automate repetitive workflows, and turn customer or internal conversations into traceable work. We start with one focused workflow, build or test the first useful version, then use feedback to decide what should happen next.

Schedule a Discovery CallSee the Sprint
DiscoverLearn the business challenge and choose one workflow worth testing.
SprintSpend seven focused hours building, prototyping, or proving what is needed.
IterateUse feedback to improve the workflow or move to the next highest-value problem.

The 7-Hour Workflow Sprint

Start with one business problem and build the first useful version.

The sprint is a fixed-price, low-risk way to test whether AI can help a real workflow. In seven focused hours, we either build or prototype something useful, or leave you with a clear plan for what the solution will take.

01

Discovery call

We learn the business context, hear what keeps repeating, and decide whether one focused workflow is a good sprint fit.

02

7-hour sprint

We time-box the work around one business need: meetings, examples, light build work, and a first useful prototype or feasibility result.

03

Review the result

We demo what was built or learned, gather feedback, and separate what worked from what needs more depth.

04

Plan the next move

Within two business days, you get a practical recommendation: improve it, connect systems, move to production, or tackle the next workflow.

Fixed-price first engagement

7-Hour Workflow Sprint

$1,250fixed price

Best for one repeated question, document process, intake workflow, reporting task, or knowledge bottleneck. If live integrations or complex permissions are required, the sprint focuses on feasibility and a scoped next-step plan instead of pretending the full build fits into seven hours.

Start With a Discovery CallView Sample Sprint
What is includedSeven focused hours
Working sessionsTwo or three focused conversations to choose the workflow, review examples, and react to the first version.
Build timeTwo or three hours of prototype, configuration, data prep, or feasibility work.
Privacy optionSensitive files can be prepared locally first, including masking common PII before cloud AI tools are used.
Follow-upA written next-step recommendation within two business days after review.
Good sprint fit
  • Net-new prototype or first working workflow.
  • Knowledge assistant over provided files or policies.
  • Intake-to-summary, case draft, report review, or handoff workflow.
  • Small sample data set with manual upload or export.
May need a larger scope
  • Deep CRM, accounting, scheduling, or property-system integrations.
  • Large data migrations or production permission models.
  • Vendor API approval, compliance review, or regulated deployment.
  • Anything that must be fully production-ready in the first pass.
Local privacy prep
  • Mask names, emails, phone numbers, addresses, IDs, or account numbers.
  • Prepare sensitive files locally before cloud AI processing.
  • Use local-only tools where original files should not leave your environment.
  • Reduce exposure without replacing legal, compliance, or security review.

Workflow examples

The industries change. The useful patterns repeat.

A focused sprint helps uncover where AI can safely support the everyday work: centralizing knowledge, answering questions, collecting context, creating cases, preparing handoffs, and building a history the business can learn from.

Tenant service and maintenance operations

Property management

A tenant question becomes an answer, case, or maintenance request.

AI Tenant Front Desk with case-based maintenance intakeHigh-trust parent communication

Childcare center

A parent question becomes an enrollment inquiry or policy answer.

AI Parent Front Desk with enrollment and policy Q&ALocal sales and guest engagement

Restaurant and hospitality

A guest question becomes a catering lead, review reply, or follow-up.

AI Catering and Guest Engagement AssistantService intake and technical dispatch

Field service

A service call becomes a triaged work order with the right context.

AI Service Intake and Dispatch Assistant

A common first build

An AI front desk is often the first proof point. It should not stop there.

Most small businesses do not need an AI strategy deck. They need one useful operational moment: a question answered, a lead qualified, a file reviewed, a request routed, or a follow-up started.

01

Centralize scattered knowledge

Use your contracts, policies, FAQs, product/service docs, and internal process notes as a practical operating knowledge base.

02

Turn questions into traceable work

Understand intent, urgency, sentiment, buying signals, and whether the next step is an answer, a case, or a human handoff.

03

Collect the right context

Ask the clarifying questions your team would ask before a quote, repair, owner update, review, or follow-up call.

04

Create the next action

Generate summaries, work items, CRM notes, quote drafts, review queues, service requests, and reporting inputs.

Live demo

One platform for resident answers and manager visibility.

Lakeside Property Management is a synthetic demo client built from original sample leases, resident policies, maintenance rules, owner workflows, and reporting artifacts. Resident Front Desk is live now; the Manager Console activates only with its own protected ProductIntel knowledge scope.

Live ProductIntel demo

Try the Lakeside resident front desk.

Ask a lease, move-in, payment, or maintenance question from the approved resident knowledge set.

Approved resident knowledge
Start the resident front deskChoose a prompt above or ask your own property management question.

Demo only. Resident chat is live against synthetic knowledge. Manager access uses a separate ProductIntel configuration so internal records are never exposed through the resident key.

The capability cycle

Documents, conversations, and cases become an operating system.

This is the part that makes the system more than another chat interface. ProductIntel turns approved knowledge into grounded answers, conversations into traceable cases, and cases into detailed work items for a person or agent to review.

01
Chat

The conversation starts at the edge of the business.

A customer asks a question, describes a problem, uploads a file, or shares photos. The experience feels simple because chat is familiar.

02
Knowledge

The answer is grounded in the business.

Policies, contracts, service pages, FAQs, SOPs, and prior work provide context so the system is not guessing from generic internet knowledge.

03
Case

When action is needed, the chat becomes a case.

The system captures intent, urgency, sentiment, source references, customer details, and a clean summary for review.

04
Work

The case becomes a detailed work item.

AI can draft the task, suggest next steps, attach relevant knowledge, and route the work to a human or an agent when appropriate.

05
History

Every resolved case makes the system smarter.

The business builds a searchable history of requests, recurring issues, service patterns, and future automation opportunities.

Common starting points

Real business moments make the value obvious.

These are the workflow shapes that show up across different industries. They can start small and still create a better customer interaction, cleaner handoff, faster review, and stronger operational visibility.

Questions to cases

A repeated question becomes an answer, case, or handoff.

Tenant, parent, guest, prospect, or customer questions can be answered from approved knowledge or turned into a traceable case when action is needed.

1Someone asks a familiar question.
2AI answers from approved business knowledge.
3If action is needed, the system creates a case.
Photos to estimates

A phone photo becomes a stronger first conversation.

Photos from a homeowner, customer, or field tech can help collect context, ask better questions, and prepare an initial scope or follow-up packet.

1Customer uploads photos from a phone.
2AI identifies scope and missing details.
3Team gets a clearer starting point.
Invoices84%
Exceptions12
Missing7
Ready31
Files to review queues

A messy file process becomes a review queue.

Recurring spreadsheets, PDFs, forms, exports, and reports can be cleaned, summarized, checked, and prepared for human approval.

1Team drops files into the workflow.
2AI extracts, compares, flags, and summarizes.
3Human reviews exceptions instead of rebuilding the report.

Built on ProductIntel

Once the first workflow is live, your business starts building operational intelligence.

Holloway Consulting helps businesses turn documents, conversations, and repeated workflows into AI-powered operational systems built on ProductIntel. Some sprints become simple standalone workflows. Others grow into ProductIntel-powered knowledge, cases, chat, reporting, and operational history.

From chat transcript to operating rhythm.

The first version can be simple. Over time, ProductIntel can support a daily review habit: what customers asked, what work was created, where documentation failed, and what should be improved next.

Daily reviewSummaries of customer conversations, unresolved issues, quote opportunities, cases, and work items.
Operational memoryRepeated questions, failed answers, service patterns, and documentation gaps become visible over time.
Follow-upQualified leads, estimate requests, and service issues can trigger email, CRM, calendar, or task workflows.
TrustAnswers can include source references, human review, approval boundaries, and clear handoff rules.

Why Holloway

Consulting backed by a working AI operations platform.

Holloway Consulting brings local-business practicality together with senior product and engineering experience. The goal is not to sell AI magic. The goal is to implement useful operational systems that earn their keep.

Practical operational intelligence, grounded in the way your business already works.
  • 25+ years across product, engineering, enterprise SaaS, and FinTech.
  • Builder of ProductIntel, the platform engine behind our knowledge, case, workflow, and reporting approach.
  • Early small-business roots in websites, content, product photography, and local service work.
  • Focused on documentation, workflow design, human review, and maintainable systems.

Ready to look at one workflow?

Start with a discovery call. If there is a fit, sprint on one workflow.

Tell us about one repeated question, document process, estimate request, customer handoff, or internal workflow that keeps taking more time than it should.

Workflow Sprint Intake Agent

Start with an industry. Let the agent look for one sprint-fit workflow.

Choose agent