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ArtificialApplied Intelligence

Most companies experiment with AI.
We operationalize it.

Your AI team — embedded in your business, driving measurable outcomes across the areas that matter most. End-to-end implementation, integration, and continuous optimization, delivered as a subscription.

start here Find Your Biggest Opportunities or keep reading

Free assessment + 15-min call. No commitment.

28 years automating
172 clients served
8257 automations shipped
1142 live agents
50+ OSS projects

CONTINUOUSLY MOVING TARGET

what was state-of-the-art 18 months ago is table stakes today

GPT-day

Prompting

You ask, it answers. Copy-paste everything in, copy-paste everything out. A clever intern with amnesia.

last year

Context & instructions

Assistants that know your documents, your rules, your tone — grounded in your business, but still waiting on you.

now

Autonomous loops

Agents that plan, use tools, check their own work, and retry — running whole workflows end to end while you sleep.

each jump: barely a year apart — and the next one is already coming

GROWING COMPLEXITY OF AN AGENT

tap any block to see what it does — and how it shows up across industries

3rd-party tools

Function calls and MCP that let the agent take real actions inside your stack.

in the wildSales · update the CRMLogistics · book freight
loop control

Plan → act → check → retry — the logic that drives a task all the way to done.

in the wildOps · multi-step intakeFinance · reconciliation
system prompts

The standing instructions that set the agent’s job, its rules, and its guardrails.

in the wildBanking · disclosure rulesRetail · brand voice
LLM

The reasoning core — we pick and swap the right model for each job, and it regroups a whole family of model technologies underneath. Tap a technology to expand it.

Frontier LLMs

Top-tier general models for deep reasoning, writing, and code.

Legal · contract reviewMarketing · campaign copy
Reasoning models

Extended step-by-step thinking for hard, multi-stage problems.

Finance · risk analysisEngineering · root-cause
Vision & multimodal

Read images, scans, PDFs, and screenshots — not just text.

Logistics · damage photosInsurance · claim docs
Embeddings

Turn text into vectors for semantic search and matching.

Support · similar ticketsRetail · product match
Speech · STT / TTS

Transcribe calls and reply in a natural-sounding voice.

Healthcare · visit notesCall centers · live IVR
Image & video generation

Generate and edit visual content straight from a prompt.

Marketing · ad creativeE-commerce · product shots
Small / local models

Cheap, fast, on-prem models for high-volume or private data.

Manufacturing · edge QAGov · air-gapped
Fine-tuning & adapters

Specialize a base model on your data and house style.

Support · brand toneLegal · clause drafting
Safety & moderation

Classifiers that screen inputs and outputs for risk.

Social · content moderationBanking · fraud flags
identity

Who the agent is allowed to be — permissions, access scope, and audit trail.

in the wildHealthcare · PHI accessFinance · least-privilege
personality

Tone and style — how it sounds to your customers and to your own team.

in the wildHospitality · warmLegal · precise
capabilities

Composable skills — search, browse, calculate, code — the agent can call on.

in the wildFinance · build modelsResearch · web synthesis
code sandbox

A safe, isolated runtime to execute generated code and analysis.

in the wildData · ad-hoc analysisEng · script automation
RAG

Grounds every answer in your own documents and data — not the open web.

in the wildLegal · case filesHR · policy lookup
context loading

Injects the right files, history, and facts at each step of the work.

in the wildSupport · account historyField ops · the job at hand

Every block is a design decision — and each one changes as the ecosystem evolves. Keeping this assembled, tuned, and current is the job we take off your plate.

ECOSYSTEM RABBIT-HOLE 

providers, models, harnesses, capabilities, guardrails — every layer is its own moving target

SAFETY & SCALE guardrailsRules and filters that keep AI outputs safe, on-brand, and within policy — before they ever reach a customer or a live system.in the news: DPD's chatbot swore at a customer & trashed the company ↗ evals & verificationAutomated tests that score the AI's answers continuously, so quality doesn't silently drift when a model or prompt changes.in the news: Deloitte refunded a $290k report after AI-fabricated citations slipped through ↗ monitoringLive visibility and alerts on every workflow — failures and odd outputs get caught before they cost you anything.in the news: Apple's AI pushed fake headlines to millions for a month before being pulled ↗ cost controlToken budgets, caching, and smart model routing so the bill stays predictable as usage grows.in the news: Uber blew its annual AI budget in 4 months ↗
CAPABILITIES tools & MCPGiving the AI hands: function calling and the Model Context Protocol (MCP) — the standard plug between models and your software.in the news: a dealership bolted ChatGPT onto its site — it agreed to sell a $70k Tahoe for $1 ↗ RAG & data pipelinesFeeding the model your own documents and data, so answers are grounded in your business — not the open internet.in the news: Air Canada's bot invented a refund policy — court made them honor it ↗ agent-to-agent (A2A)Agents talking to agents — delegating tasks, coordinating handoffs, and working across systems (and companies) without a human relay. APIs & legacy systemsBridges into the older software and formats (EDI, PDFs, paper forms) that still run the real world.
HARNESSES orchestration loopsThe logic that chains AI steps together: plan → act → check → retry, until the job is actually done.in the news: an AI agent ignored a code freeze & wiped a production database ↗ context & memoryWhat the model knows at each step — the right history, files, and facts injected at the right moment.in the news: Samsung banned ChatGPT after engineers pasted secret code into it ↗ error handlingCatching the inevitable bad output and recovering gracefully, instead of letting one glitch break the workflow.in the news: McDonald's pulled its AI drive-thru after viral order errors ↗
MODELS constantly changing
! = it already went wrong somewhere — hover for the story

…and the scope bubbles fast

day 1"we just need one automation"
week 2+ a harness: prompts, orchestration, context
week 4+ integrations, data access, legacy systems
month 2+ guardrails, evals, monitoring, cost control
forever+ models & providers shifting under your feet
Every ring is a discipline. For an internal team, every discipline becomes a hire.
We operate the whole stack for you — and keep it current as the ecosystem moves.

USUAL SUSPECTS

regardless of industry, the same operational bottlenecks appear again and again — tap one to explore

Knowledge Is Trapped

Symptoms

  • Information scattered across systems
  • Long onboarding times
  • Constant interruptions
  • Expert bottlenecks
OpportunityCreate a centralized AI-powered knowledge layer.

Outcomes

  • Faster onboarding
  • Better decisions
  • Reduced interruptions
High-Value People, Low-Value Work

Symptoms

  • Manual reporting
  • Data entry
  • Administrative work
  • Repetitive processes
OpportunityAutomate repetitive workflows.

Outcomes

  • Hours reclaimed
  • Increased productivity
  • Reduced operating costs
Slow Customer Response Times

Symptoms

  • Growing support queues
  • Delayed responses
  • Escalation bottlenecks
  • Inconsistent service
OpportunityDeploy AI-assisted support systems.

Outcomes

  • Faster resolution times
  • Improved customer satisfaction
  • Reduced support costs
Revenue Leakage

Symptoms

  • Missed follow-ups
  • Lost opportunities
  • Poor visibility
  • Inconsistent execution
OpportunityImprove sales intelligence and automation.

Outcomes

  • Increased conversions
  • Improved forecasting
  • Greater revenue capture
Decisions Without Data

Symptoms

  • Delayed reporting
  • Conflicting metrics
  • Limited visibility
  • Manual dashboards
OpportunityCreate automated intelligence systems.

Outcomes

  • Faster decisions
  • Better forecasting
  • Increased accountability
Processes Depend On Individuals

Symptoms

  • Tribal knowledge
  • Key-person dependency
  • Inconsistent execution
  • Limited scalability
OpportunitySystematize expertise.

Outcomes

  • Reduced risk
  • Better consistency
  • Improved scalability
Disconnected Systems

Symptoms

  • Duplicate work
  • Manual handoffs
  • Data silos
  • Context switching
OpportunityConnect systems and automate information flow.

Outcomes

  • Faster operations
  • Fewer errors
  • Greater visibility
Leadership Buried In Operations

Symptoms

  • Constant firefighting
  • Strategic work delayed
  • Too many approvals
  • Operational overload
OpportunityAutomate operational burdens.

Outcomes

  • More strategic focus
  • Better execution
  • Faster growth
Growth Outpaced Operations

Symptoms

  • Increasing errors
  • Capacity constraints
  • Process breakdowns
  • Team burnout
OpportunityBuild scalable systems.

Outcomes

  • Sustainable growth
  • Better margins
  • Reduced burnout

The goal isn't more AI.
The goal is a better business.

Let's identify your patterns

ANY PROVIDER. EVERY RULEBOOK.

we pick the stack that fits — and ship it inside your regulatory reality, SaaS to manufacturing, healthcare to finance

Provider-agnostic, by design

Anthropic OpenAI Google Mistral AWS Eleven Labs Deepseek Ollama Qwen Grok Hugging Face OpenRouter Cohere Groq Perplexity Together AI Replicate Fireworks AI Azure NVIDIA Stability AI Databricks

We work across every major model provider and automation platform — and pick whichever fits your workflow, your data, and your budget. When a better model ships next month, we swap it in. …and whoever ships next!

Industry-compliant, by experience

we speak auditor
ISO 27001 SOC 2 PIPEDA CCPA/CPRA HIPAA PHIPA PCI DSS GLBA OSFI AML/KYC FedRAMP/FISMA Protected B ISO 9001

Workflows designed around your obligations from day one — data residency, audit trails, access controls — not retrofitted after the fact.

YOUR AI TEAM, WITHOUT THE OVERHEAD

a fully operational AI & automation team — as a subscription

vs. internal hiring

  • No recruitment delays or talent shortages
  • No salaries, benefits, or long-term overhead
  • Multi-disciplinary team from day one — strategy, engineering, automation

vs. consultants

  • Execution-first — not just recommendations
  • Systems designed, built, and deployed
  • Continuous iteration instead of one-off deliverables

for you, that means

  • Faster time to impact
  • Lower total cost of ownership
  • Scalable capability without organizational friction

Time to first impact

from decision to deployed, working systems

Internal hiring
3–6 months
Traditional consulting
4–12 weeks*
Les Experts AI
2–4 weeks

* for recommendations only — execution is extra time

Typical internal team runs $220K–$350K/year fully loaded.
A Les Experts AI subscription: $48K–$60K/year.

HOW WE WORK

a continuous improvement engine — short cycles, every 2–4 weeks, always aligned to your KPIs

1

DESIGN

Design the right AI solution for the biggest impact on your KPIs.

2

BUILD

Build, test, and refine with speed and quality, in short cycles.

3

DEPLOY

Deploy into production seamlessly, with your team and your systems.

4

MEASURE

Track performance against your KPIs and quantify the business impact.

5

OPTIMIZE

Learn, optimize, and iterate for continuous, compounding gains.

each lane

8 focused hours a week — one priority at a time, no thrash.

daily

Async progress updates, right in your channel.

weekly

A working call: review, unblock, reprioritize.

monthly

Measure impact, bank the wins, pick the next workflow.

first
impact
the graphic roadmap: first deployed workflow within 2–4 weeks — then the loop repeats

WHAT TO EXPECT

a partnership that compounds — assess, prove, then expand

weeks 1–4

Foundation

assess & prioritize

  • Business & process assessment
  • KPI baseline & success metrics
  • Work-lane selection & scoping
  • Prioritized, high-impact roadmap
you getAI Growth Plan · KPI baseline · lane definitions · 90-day roadmap
every ~20 weeks

Quarterly Review

measure & recalibrate

  • KPI & impact review, per lane
  • New opportunity discovery
  • Roadmap & priority adjustment
  • Add or expand lanes as needed
you getExecutive review · ROI impact report · updated roadmap · next priorities
ongoing

Long-term Partnership

renew · expand · scale

  • Sustained, compounding KPI gains
  • Expand lanes as opportunities grow
  • A true extension of your team
You're not buying a project — you're gaining an AI team that grows your business.

WHERE WE TYPICALLY CREATE VALUE

every business is different — the opportunities usually aren't

Business Growth every initiative rolls up to one of these

click a zone to see the symptoms, opportunities & KPIs↑

The value isn't in AI.
The value is in Applied Intelligence.

Discover your biggest opportunities

THEY GOT HOOKED

real deployments · measured outcomes

IN THEIR WORDS

what it feels like a few weeks after the systems go live

Client portrait Operations LeadService & Operations

They didn't hand us a strategy deck — they shipped working automations in the first month.

The manual busywork just started to disappear, and the team stopped dreading Mondays.

Client portrait Field Ops ManagerLogistics & Transport

Paperwork that used to eat whole afternoons now files itself.

Fewer errors, far less re-typing — and the crew finally got their time back for real work.

Client portrait Distribution LeadIndustrial & Supply

Reordering used to mean digging through catalogs by hand.

Now a single photo does it, and our fulfilment cycles are dramatically faster.

Client portrait Knowledge ManagerProfessional Services

Answers that used to live in three people's heads are now a search away.

New hires ramp in days instead of weeks, and our experts stopped getting interrupted every hour.

Client portrait Support LeadCustomer Experience

Our response times dropped without adding a single headcount.

The agent drafts, a human approves — customers notice the difference, and so does our CSAT.

Client portrait Finance DirectorFinance & Admin

Month-end reconciliation went from a week of dread to an afternoon.

The numbers reconcile themselves now, and the audit trail is just… there when we need it.

PRICING

pause with 7 days' notice to bank unused time

Extra lanes are subject to team availability.

sticker price ≠ real price

Make your AI budget go further.

Through our partnerships network, we help subscribers tap into public funding made available for different AI initiatives across industries to encourage workplace transformations and invest in sovereign research & development.
    We help identify available opportunities, manage the paperwork, and secure applicable credits that can offset implementation costs, infrastructure expenses, and ongoing AI operations.

Build faster. Spend less. Incentives designed to support innovation.

sample: Maple Robotics
Subscription (12 mo)$48,000
Provider credits−$10,000
SR&ED (~20%)−$9,600
RAII (~12%)−$5,760
real cost$22,640

UNIVERSALLY APPLICABLE LANES

a lane is a dedicated AI workstream pointed at one part of your business — you choose the priority, we execute

Guaranteed 8 focused hours every week, per lane. Lanes are defined by your priorities — by KPI or strategic initiative. Run one to start, then add more as the impact compounds.

Internal Knowledge

Surface the right knowledge, automate documentation, and empower teams.

Search successTime savedAdoption

Sales

Drive pipeline, improve conversion, and forecast with confidence.

MeetingsConversion ratePipeline value

Operations

Automate workflows, reduce errors, and increase throughput.

Cycle timeError rateCost to serve

Customer Support

Deliver faster, smarter support and improve the customer experience.

Resolution timeCSATFirst-contact res.

Finance & Admin

Automate finance and admin processes — improving accuracy and compliance.

Hours savedCost reductionAccuracy

Your priority

These are examples. Bring the KPI or initiative that matters most — we scope a lane around it.

you choose · we execute →

QUESTIONS, ANSWERED

the things people ask before booking a call

Is this consulting?

No — it's execution. We identify high-impact opportunities, then design, build, and deploy the systems ourselves, and keep iterating on them based on real-world usage. You get working workflows, not a recommendations deck.

How do payments work?
  • Month-to-month: 30% due 2 weeks prior to start, 70% before commencement; following months 100% prepaid, 2 weeks in advance.
  • 6-month: 50% due 2 weeks prior to start; the rest invoiced at $2,700/month, billed 2 weeks in advance.
  • 12-month: 25% due 2 weeks prior to start, 25% before the second month; the balance at $2,400/month, billed 2 weeks in advance.
How fast do we see results?

First deployed workflows and measurable impact within 2–4 weeks of kickoff. Compare that to 3–6 months to recruit and onboard an internal team, or 4–12 weeks of consulting for recommendations alone.

Can we pause the engagement?

Yes — any plan can be paused with 7 days' notice. Unused time is retained and banked: valid for 6 months on the 6-month plan, 12 months on the 12-month plan. Contractual payments continue as scheduled during a pause, and banked time can be reactivated within the validity period.

Which AI providers do you work with?

All of them — we're provider-agnostic. Anthropic, OpenAI, Google, Mistral, Meta, AWS Bedrock, Azure, plus automation platforms like n8n, Make, and Zapier. We pick what fits your workflow, data, and budget, and swap in better models as they ship.

Will this work with our existing (old) systems?

That's our specialty. Legacy EDI formats, paper and PDF documents, decades-old ERPs — we build the bridges (OCR, APIs, automated form filling) so the AI works with what you already run instead of forcing a migration.

We don't know where to start. Is that a problem?

It's the normal starting point. The engagement begins by identifying the highest-impact AI opportunities aligned with your business objectives — that's what the first consultation is for.

ONE LAST MESSAGE

why we built Les Experts AI this way

Founder portrait
that's me ↑
that's Monaam ↓
Co-founder Monaam portrait

Hello —

We started Les Experts AI after watching too many companies get handed an AI strategy deck… and no working system. The gap between a recommendation and a deployed workflow is where most of the value gets lost.

Some of the businesses we care about most were falling behind competitors. Others were burning through budget chasing the latest AI promise without measurable results. And increasingly, we found ourselves getting called in to fix implementations that should have worked the first time — or to share our opinion on the latest AI promise or product.

Then came the explosion of AI tools. Every week brought another specialized product, another subscription, another login. Powerful on their own, but rarely designed to work together. Businesses were spending more time managing AI than benefiting from it.

Here's the honest part: AI is an ecosystem that is continuously evolving. Models, providers, guardrails, integrations, workflows — keeping all of it current is a full-time job for several specialists. It shouldn't have to be yours.

So we made it ours. We design, build, and run AI systems that work together inside your business — and we measure ourselves on one thing: the hours and dollars you get back.

— Jad & Monaam
Strategic direction Dedicated AI team Proven delivery system Transparent reporting Measurable ROI

Let's find your highest-impact workflow.

A brief consultation to align on scope, outcomes, and the right engagement structure.

Book Your AI Growth Assessment

Free assessment + 15-min call. No commitment.