ClarIQ · Advise & Enable

Adopt AI with a plan, not a pile of subscriptions.

Somewhere in your week there are hours a machine should be doing. We find them, teach your team to claim them, and keep the whole system sharp as the technology moves.

Get a free call

Free 30 minutes. You leave with your three biggest automation candidates. Or start with the readiness audit.

How an engagement flows Every node is a page. Click through.

The branch, in three seats

One front door. Two ways to keep what you gain.

Start with a free 30-minute call, then the paid AI readiness audit. Agree the implementation, training and optional support after the audit.

Entry point

AI Readiness Audit

Two weeks inside your workflows. You get a ranked map of where AI saves real hours, what it costs, and what to ignore.

See the audit 02

Make it stick

Team Training & Workshops

Hands-on sessions built around your team's actual work, plus the guardrails that stop quiet data leaks.

See the training 03

Keep it sharp

Maintenance & Optimization Retainer

Models change monthly. We watch, patch, and tune every system you run, so quality never quietly slips.

See the retainer

Why order matters

Three ways businesses try AI. Two of them burn money.

The fear is real: competitors are getting faster and you cannot tell if you are behind. The fix is not more tools. It is sequence.

Subscriptions pile up. Usage does not.

Someone signs up for five tools after a conference. Three months later two logins still work, nobody agrees on how to use them, and finance asks what the line items are for. The tools were never the problem. The missing map was.

Common outcome: shelfware

One enthusiast becomes the bottleneck.

A capable hire or an internal champion builds clever things. Then they go on leave, or leave. Nothing is documented, nothing is maintained, and the business is one resignation away from losing its whole AI capability.

Common outcome: key-person risk

Evidence first. Spend follows proof.

The audit ranks opportunities by hours saved and payback. Training turns the top of that list into daily habits across the team, not one hero. The retainer keeps every piece current. Each dollar follows a number, not a mood.

Our sequence: audit, enable, maintain

Operating rules

How we work, and what we refuse to do

These rules exist because we have watched AI projects fail in the same four ways. They are not negotiable, even when a client asks.

Always

Read-only access to your systems wherever possible, under a signed confidentiality agreement.
A human reviews every deliverable before it reaches a customer. Pure automation is how brands get burned.
Tooling follows revenue: we only recommend a paid tool once a workflow has proven it earns its fee.
Everything we set up is documented so your team owns it, with or without us.

Never

Sell you software before the audit shows where it pays.
Ship a customer-facing bot without guardrails and an escalation path.
Use your business data to train public models, or keep access we do not need.
Lock you into long contracts. Every service here can be stopped after its initial term.

Questions

Asked on almost every first call

Do we need to be using AI already?

No. Most clients arrive with a few subscriptions and no system. The audit meets you wherever you are, including at zero.

Where should we start?

The AI readiness audit. It is the front door to everything else: it ranks your opportunities by payoff, so training and the retainer are built on evidence instead of guesses.

What are automation advisory services?

Advice before anything is built. An advisory engagement works out where automation would pay off in your business, in what order, and whether your systems are ready. That is this branch: the audit finds the opportunities, training makes them stick, and the retainer keeps them working.

Do you also build the automations?

Advise & Enable covers planning, training, and upkeep. When your roadmap calls for a build, we scope it as its own project, so you only ever pay for work the audit has justified.

Is our data safe?

Yes. We work read-only wherever possible, sign a confidentiality agreement before we see anything, and never use your data to train public models.

What does it cost?

The audit is a fixed fee quoted on the first call. Training is priced per session, and the retainer is sized monthly to what we maintain. You get exact numbers before committing to anything.

The first step

Find your next step.

Tell us how your week actually runs. On the call you get:

Your three strongest automation candidates, ranked by hours returned.
An honest read on whether your systems are ready, or what to fix first.
A fixed quote for the readiness audit. Take it or keep the list, either is fine.

From a repeated task to an agreed workflow

Start: A free 30-minute call, then the paid AI readiness audit before an implementation engagement. Ready-made products are separate purchases.
Bring: One repeated task, representative examples, its current volume and time cost, and the person who can approve the process.
Receive: A ranked build-or-skip recommendation. Implementation has a separate written scope covering connections, tests, handoff, ownership, timing and fee.
Human decisions: People review advisory deliverables. Live assistants act only within agreed sources and permissions. Sensitive actions need the specified approval; uncertain cases go to a named person.
Before launch: Agree the exception owner, stop procedure, monitoring, access limits and maintenance responsibility. These are implementation acceptance requirements, not a claim that every listed service is already installed.
A useful no: If the task is infrequent, inconsistent or lacks an owner, keep it manual for now. Document the steps, collect examples and measure the time before paying to automate.

Inspect a workflow review trail