See where AI fits — before you buy another tool.
Two reads: an instant sector playbook for agencies (drag map, proof, first workflow) or a generated company diagnostic from your website and Companies House record.
Free, shareable, evidence-labelled. Not a full audit — internal systems unlock with the expanded diagnostic.
// More sectors · authoring in progress
Accountancy practices
Onboarding, CDD evidence and advisory prep
Compliance-heavy SMEs
Evidence packs and buyer questionnaires
Professional services bidders
Tender readiness and reusable bid libraries
Want a sector we have not mapped yet? Tell us which one →
Sample report preview
Not a generic AI score. A grounded friction report.
This fictional example shows the shape of the expanded diagnostic: evidence first, claim type shown, then a practical next step. The free v3 scan is lighter; paid diagnostics add internal workflow evidence and decide which workflow is worth fixing first.
Fictional example
Harbour Advisory Ltd
Service-led SME · Expanded diagnostic preview
The firm appears credible, but the website asks prospects to enquire before proving process clarity, response expectations or specialist fit.
Evidence base
The legal identity is matched before any classification or peer comparison is shown.
The enquiry path appears before process, proof and response-time expectations are explained.
Peer pages can be checked for clearer proof, positioning and response expectations before any recommendation is made.
Top actions
- Rebuild the enquiry path around proof, expected response time and qualification routing.
- Turn visible evidence into specific proof blocks before asking prospects to enquire.
- Use the expanded diagnostic to decide whether the first pilot should be lead response, evidence documents or customer support.
30-day fix pilot
Confirm the real bottleneck with internal evidence, then pilot one controlled improvement: lead response, evidence documents, customer support, competitor monitoring or another proven lane.
How the company report works
How public signals become a practical next step
The scan is designed to create an "aha" moment without overclaiming: source detail first, interpretation second, implementation last.
Capture the signal
Website, reviews, competitor pages, search presence, trust markers and sector-specific public sources are preserved with source references.
Classify the evidence
Findings are separated into observed facts, derived metrics, interpretations and recommendations so the report stays defensible.
Score the friction
The free scan scores public-safe signals. The expanded diagnostic adds customer journey, revenue leakage and internal workflow evidence before recommending action.
Prioritise the fix
The output does not end as a dashboard. It ends with one practical fix candidate, the evidence behind it, a success metric and a 30-day pilot shape.
What happens after the report
Useful insight first, practical implementation only where earned.
The point is not to produce another AI report. The point is to help a business decide whether a visible problem is worth deeper diagnosis, a small pilot, or no action at all.
Every recommendation should connect to evidence, confidence, effort, buyer value and a sensible next step.
Evidence-led diagnosis
The report separates what was observed, what was inferred and what cannot be known from the outside.
Commercial prioritisation
Findings are framed around trust, speed, demand, operational drag and implementation feasibility — not AI novelty.
Builder-led implementation
If the evidence points to a real workflow problem, the next step is a small diagnostic or pilot, not a vague transformation programme.
A ladder from insight to recurring improvement.
Start with visible public friction. Move only as far as the evidence justifies: deeper workflow, revenue and customer-journey diagnosis, one fix, then recurring improvement if the pattern is real.
AI Opportunity Report
A source-backed outside-in read showing where visible signals suggest lost trust, demand, speed or operational leverage.
- Identity and SIC confidence
- Visible friction scorecard
- Evidence-labelled next step
You get a useful outside-in view, not a claim that we know your internal business.
Expanded Diagnostic
A fixed-scope diagnostic that tests the public signal against internal evidence before recommending any build.
- Six workflow opportunities
- Internal artefact and journey review
- One pilot business case
You learn which workflow is actually worth automating, what evidence proves it, and what not to build yet.
30-Day Fix Pilot
Improve one high-value workflow: lead triage, document collection, reporting, proof, follow-up or another evidenced bottleneck.
- Scoped implementation
- Human-control gates
- Before and after metric
You get a working improvement or a fast no-build decision before any retainer or wider rollout.
The deep dive tests which workflow is actually worth fixing.
The market is full of ads tools, content tools, support bots and workflow automations. The diagnostic stops the SME buying the wrong one by checking the public signal against internal evidence first.
Lead & response
Missed enquiries, slow replies, weak qualification or follow-up gaps.
Enquiry logs, response times, lead sources, handoff notes and lost-lead examples.
Lead triage, proof and follow-up workflow.
Evidence & documents
Repeated proof requests, bid packs, buyer questionnaires or document chasing.
Recent questionnaires, policies, screenshots, tender packs, ownership and approval rules.
Reusable evidence pack with human review.
Content & authority
Thin proof, generic content, weak case studies or unclear specialist positioning.
Customer stories, sales objections, approved claims, tone of voice and subject expertise.
Proof-led content and case-study workflow.
Ads & demand
Paid media waste, weak landing-page fit, unclear offer or creative/message mismatch.
Campaign samples, landing pages, spend, conversion notes and audience assumptions.
Offer, landing-page and creative test plan.
Competitor & market
Competitors move faster on offers, proof, pricing, content or niche positioning.
Target competitors, win/loss notes, proposal comparisons and market priorities.
Competitor signal brief and response workflow.
Support & customer journey
Repeated questions, customer confusion, poor handoff or avoidable service drag.
Support inbox samples, FAQs, call notes, complaint themes and escalation paths.
Support triage with clean human handoff.
From scan signal to pilot decision.
This is the useful preview: show the owner what the next diagnostic would inspect, without pretending an outside-in read can see the inside of the business.
Map this for my workflowThe public scan sees weak proof before the enquiry CTA and signs of manual document collection.
Three recent enquiries, response-time notes, one document checklist and one lost-lead story.
Lead & response plus Evidence & documents. No ads build until the follow-up workflow is understood.
A controlled enquiry-to-proof workflow: triage, approved proof blocks, follow-up prompts and one before/after metric.
GuardianStack — live compliance product
We build what we recommend.
The intelligence scan is built on the same research engine we use for GuardianStack, our evidence-led compliance product for UK SMEs. We do not recommend workflow change from the sidelines. We build, test and ship production systems.
Claims, citations and confidence stay visible to the user
Sensitive recommendations are reviewed before they become action
Diagnosis leads to a bounded pilot, not a vague transformation project
When we recommend AI implementation strategies, we speak from direct experience building production systems — not slide decks.
A live example of the method.
GuardianStack turns regulatory sources into structured assessments, documents and monitoring workflows. It is here as proof that MikaHari can move from diagnosis to shipped software.
- Source-linked assessment outputs
- Document generation with review points
- Production build using React, TypeScript and Supabase
About MikaHari Labs
Built by Shyaam Namas.
"The point is not to sell AI. It is to work out where the business evidence says AI could actually help."
MikaHari Labs is founder-led. Shyaam brings an operator's background in financial services, product strategy and workflow change, but the website deliberately keeps the focus on the evidence, the scan and the practical next step. For the full career background, use LinkedIn.
View Shyaam on LinkedIn →Common questions
Clear scope. Evidence first. No vague AI promises.
The ai opportunity report is an outside-in view from public signals. The paid diagnostic tests that signal against internal evidence: workflow map, customer journey, document and evidence review, revenue-leakage hypothesis, six workflow opportunities, prioritised fix list and a 30-day pilot business case.
We start with public or semi-public sources: your website, search presence, public reviews, competitor sites, social/profile signals, Companies House and regulated/trust registers where relevant. Expanded diagnostics can add CRM samples, enquiry logs, process notes, customer handoffs, document packs or team input with permission.
Not in the usual generic sense. AI helps collect, classify and summarise signals; the output is an evidence-led diagnostic read, reviewed through a commercial and risk-aware lens.
Findings are labelled as observed fact, derived metric, interpretation or hypothesis. The report includes source references and confidence levels, so you can see what is proven and what needs validation with internal data.
It is strongest for service-led, trust-heavy businesses where reputation, proof, speed, follow-up and operational clarity affect revenue — for example brokers, accountants, agencies, clinics, local services and e-commerce operators.
Every paid diagnostic ends with a recommended 30-day fix pilot, or a clear no-build decision. The pilot improves one workflow only: enquiry response, lead triage, document collection, customer proof, reporting, competitor monitoring, follow-up or another bottleneck the evidence supports.
Run a company report
Free, evidence-labelled read — sector instant or company generated