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How to Guide Your SMB Through Tough Times, and Use AI to Come Back Stronger

Posted by Cliff Locks On November 4, 2026 at 10:15 am

How to Guide Your SMB Through Tough Times, and Use AI to Come Back Stronger

For leaders of small and midsize businesses, particularly companies generating $5 million to $100 million in annual revenue, a difficult quarter can quickly become a broader business challenge, a difficult quarter can quickly become a broader business challenge. Revenue slows, margins tighten, customers take longer to pay, and operating costs remain high. What begins as a temporary setback can put pressure on working capital, disrupt execution, and narrow your strategic options.

The challenge isn’t just financial. Owners, executives, and management teams must make consequential decisions while protecting customer relationships, maintaining employee confidence, and keeping the organization moving.

An effective recovery starts with focus: understand the numbers, protect the capabilities that matter most, and give your team a clear sequence of actions. Incorporate AI into that plan with the same discipline—assign it specific tasks, establish safeguards, and measure whether it improves results.

Stabilize Your Business With a Disciplined Recovery Plan

A recovery plan should connect financial visibility, operational accountability, and targeted growth initiatives. The goal is not simply to reduce spending. It is to preserve your ability to serve customers, generate cash, and rebuild profitable growth.

AI belongs within those priorities—not in a separate initiative disconnected from the business.

Step 1: Assess financial performance and cash exposure

Review recent profit and loss statements, balance sheets, accounts receivable and payable, and cash flow reports. Compare results with your budget and prior periods to distinguish a temporary slowdown from a deeper pricing, margin, or operating problem.

Look beyond company-wide totals. Review performance by business unit, product line, customer segment, or location where appropriate.

Build a shared view of:

  • Available cash and near-term obligations.
  • Overdue receivables and customer payment patterns.
  • Gross margins and operating expenses.
  • Inventory levels and purchasing commitments.
  • Debt payments and financing requirements.

Give AI a defined supporting assignment: prepare a first-pass summary of approved financial reports, flag variances for investigation, or draft questions for the weekly finance meeting. Ask it to identify the source figures behind its observations and distinguish calculations from assumptions.

Your finance leader should verify every material figure and interpretation before leadership acts. Do not treat an AI-generated summary as a substitute for reconciled financial records or professional judgment.

Step 2: Reduce costs without weakening core capabilities

Separate immediate savings opportunities from changes requiring deeper analysis.

Start with discretionary spending, underused software, overlapping services, delayed upgrades, and contracts that may be renegotiated. Review staffing schedules, purchasing practices, and vendor commitments against current demand.

Avoid treating every department or expense category the same. Evaluate each reduction against three questions:

  • Does it protect or undermine revenue?
  • Will it affect customer delivery, quality, or safety?
  • What will it cost to restore this capability later?

For an AI-assisted review, provide an approved expense export and ask for a draft classification of recurring costs, possible overlaps, and items needing clarification. Have budget owners validate the findings rather than accepting suggested cuts automatically.

Include AI spending itself in the review. Require a business purpose, an accountable owner, and a practical measure of value for each subscription or pilot.

Step 3: Improve one high-impact workflow with AI and automation

Choose a process that directly affects cash, customer experience, or team capacity. Examples include quoting, invoicing, collections, procurement, and customer onboarding.

Map the workflow before selecting technology. Identify unclear approvals, repeated data entry, unnecessary handoffs, and work that sits between departments.

Then simplify the process:

  • Define a single accountable owner.
  • Standardize required information and templates.
  • Remove unnecessary approval steps.
  • Establish turnaround targets.
  • Select the tasks appropriate for automation or AI assistance.
  • Specify when a person must review, approve, or intervene.

Keep the distinction clear. A fixed rule, such as sending a reminder after an invoice reaches a specified age, belongs in a rules-based workflow. Drafting a tailored follow-up message can be an AI assignment, with an employee checking accuracy, tone, and account context before sending.

Start with one bounded use case. Set a measurable objective, such as reducing quote-preparation time while maintaining pricing accuracy. Compare results with the original process before expanding.

Step 4: Engage lenders and key business partners early

Do not wait until a missed payment forces the conversation. Approach lenders, landlords, and strategic suppliers with current financial information and a credible recovery plan.

Explain what changed, what management has already done, and what the business can realistically commit to. Explore whether revised payment schedules, extended terms, or temporary relief could better align obligations with expected cash flow.

Use AI to organize a draft briefing, prepare negotiation questions, or help rehearse the conversation. Keep the final financial representations and proposed commitments under the control of your leadership team.

Evaluate fees, interest, collateral, guarantees, and contractual obligations with appropriate advisers. Do not rely on an AI interpretation as the final word on a financing agreement, and document approved changes in writing.

Step 5: Rebuild demand with targeted, AI-assisted execution

Concentrate sales and marketing resources on clearly defined customers, compelling offers, and opportunities with a credible path to profitable revenue.

Start with existing customer relationships, stalled opportunities, renewal conversations, referral partners, and former customers whose needs may have changed.

Align sales and marketing around:

  • The customer segments to prioritize.
  • The problems your business is best positioned to solve.
  • A clear offer and next action.
  • Ownership of follow-up.
  • Measures of conversion, margin, and cash collection.

Assign AI specific work within that plan: draft a reactivation email, turn an approved customer story into a case study, prepare account-review questions, or create alternative versions of an offer for testing.

Have employees verify product claims, customer details, pricing, and personalization before publication or outreach. Do not let faster content production become a substitute for a relevant message and consistent follow-through.

Measure qualified opportunities, sales, margins, and collections—not simply how much content the team produces.

Strengthen Leadership Judgment and AI Accountability

Once immediate risks are under control, address the management capabilities that will support a durable recovery.

For an SMB, that means building judgment across the leadership team rather than leaving every consequential decision with the owner or CEO.

Focus development on financial literacy, scenario planning, operational management, communication, and responsible AI use. Department leaders should understand how their decisions affect cash, margins, customer retention, and execution.

For every AI initiative, require answers to five questions:

  1. What business problem are we addressing?
  2. What information may the system access?
  3. Who checks the output and owns the decision?
  4. What happens when the output is wrong or incomplete?
  5. How will we determine whether the initiative is worth continuing?

Formal education, executive programs, mentoring, and targeted training can all fit within a leadership-development plan. Choose the approach that addresses a specific capability gap and supports current operating priorities.

AI proficiency should be treated as a management responsibility—not simply a software skill.

Tough-Times FAQs for SMB Leaders

What is the first move when cash is tight?

Build a rolling 13-week cash forecast showing expected receipts, payroll, supplier payments, debt obligations, and other essential expenditures.

Assign ownership and review it weekly. Use realistic collection assumptions and specify what management will do if receipts arrive later than expected.

If AI helps prepare summaries or scenarios, have finance validate the inputs, formulas, and assumptions. Keep the approved forecast as the source of truth.

Where should we start with AI during a downturn?

Select one repetitive, clearly defined task with accessible data and a manageable review process.

A first pilot might involve drafting collection reminders, preparing an internal report summary, or creating a first draft of a standard proposal. Avoid starting with autonomous decisions about payments, hiring, credit, or other high-consequence matters.

Document the current process, set a target, and assess results after a defined trial. Continue only if the benefits justify the costs and oversight required.

How do we keep AI from becoming another expense?

Require each initiative to have an owner, a baseline, a success measure, and a review date.

Include subscription fees, implementation work, training, integration, and employee review time in the evaluation. Examine whether the tool improves the workflow as a whole rather than shifting work to another person.

Stop or redesign pilots that fail to meet the agreed standard.

Should we cut marketing when revenue declines?

Review marketing by contribution rather than category alone.

Reduce activities that lack a clear audience, offer, measurement approach, or follow-up process. Preserve initiatives that support retention and demonstrable demand.

Use AI within that discipline—to develop and test relevant messages, not to flood channels with generic content.

How do we maintain employee confidence while introducing AI?

Explain the business problem, the scope of the pilot, and how responsibilities may change. Be clear about what has been decided and what remains uncertain.

Involve employees who perform the work. Ask them to identify exceptions, review requirements, and points where automation could create additional friction.

Give people training and a clear way to raise concerns. Do not make promises about future roles that leadership cannot support.

What safeguards should we establish?

Set rules for approved tools, permitted data, access, review, and escalation.

Do not enter sensitive customer, employee, financial, or proprietary information into a tool unless your organization has approved that use and assessed the relevant terms and controls.

Define which outputs require human approval, particularly those involving external communications, financial commitments, employment matters, or legal interpretations.

A Quick-Action Checklist to Build Momentum

Choose two or three priorities for the coming week. Give each a named owner, deadline, and measurable outcome.

  1. Accelerate cash collection

Review overdue accounts by value, age, and likelihood of collection. Have account owners resolve disputes and confirm payment dates.

Use approved AI tools to draft follow-up messages where appropriate, but have employees check balances, terms, and relationship context before sending.

  1. Run a stoplight expense review

Classify recurring expenses into three groups:

  • Green: Essential to revenue, delivery, safety, compliance, or critical capabilities.
  • Yellow: Useful, but adjustable in scope, timing, or cost.
  • Red: Unused, duplicative, or no longer aligned with current priorities.

Include software and AI subscriptions. Validate any AI-assisted classification with the relevant budget owner.

  1. Hold a weekly financial and operating review

Bring finance, sales, and operations together around one scorecard.

Review cash, collections, pipeline, margins, spending, and delivery commitments. Use AI-generated meeting drafts or summaries only after someone checks that the figures, decisions, and assigned actions are correct.

Keep the discussion centered on decisions and accountability.

  1. Launch one targeted revenue initiative

Choose a specific customer segment and commercial objective, such as reactivating dormant accounts or advancing stalled proposals.

Use AI to prepare draft outreach and supporting materials. Have sales leaders approve the message and assign follow-up responsibility.

Track responses, conversions, margin, and expected payment timing.

  1. Pilot one AI-assisted workflow

Select a narrow task, establish the baseline, and define the review process.

Measure turnaround time, errors, rework, employee effort, and relevant customer outcomes. Do not declare success based on time saved in drafting alone.

  1. Establish clear AI ownership

Name the person responsible for approving tools and coordinating finance, IT, legal, HR, and operational input as needed.

Give employees a short, practical policy covering permitted uses, restricted information, required review, and how to report a problem.

Lead the Recovery With Clarity and Accountability

Guiding an SMB through tough times requires more than cutting costs, buying software, or asking employees to work harder. It requires a realistic view of the business, explicit choices about what to protect, and consistent execution across functions.

Start with financial visibility. Address immediate cash and operating risks. Give your leadership team clear ownership, and keep employees and business partners informed as the plan evolves.

Put AI to work on specific tasks within that recovery plan. Test its contribution, verify its output, and retain human accountability for consequential decisions.

The immediate objective is stability. The larger opportunity is a business with stronger management discipline, simpler operations, and a more deliberate approach to profitable growth.

 

 

Follow Cliff K. Locks on LinkedIn for strategic insights on leadership and a clear, forward-looking view of the future. Available for Board of Directors and Advisory roles, bringing strategic insight, operational experience, and leadership perspective. Cliff K. Locks LinkedIn

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Cliff K. Locks, an accomplished mentor and executive coach with extensive experience in board leadership, corporate governance, and strategic guidance, is available for an additional board role as an independent, trusted board member. With a proven track record of supporting company growth and navigating complex challenges, Cliff brings valuable insights and dedicated bandwidth to contribute to a Board of Directors or Board of Advisors. His expertise makes him a vital asset for organizations seeking to enhance governance and make informed, forward-thinking decisions.
Let’s talk; here is my calendar.

 

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