Answers in minutes, not days
Enquiries, tickets and documents are handled the moment they arrive, instead of waiting for someone to notice them.
AI implementation & managed operations
We identify the workflows where AI can create measurable value, prove the opportunity with a controlled pilot, deploy the system into your operations, and keep it performing after launch.
From first opportunity to production and continuous improvement
New to AI? Start simple
If "AI" feels like a lot, start here. It's one simple, done-for-you package — from $1,000 — that covers the foundations, plus your first taste of what AI can do.
Where AI is going
But too many implementations still fail to drive growth. The difference is rarely the model — it is whether the system ever reaches the work.
Enquiries, tickets and documents are handled the moment they arrive, instead of waiting for someone to notice them.
The repetitive half of a role is absorbed by the system, so the team spends its hours on the work that needs judgement.
Rules-based tasks run the same way every time, so rework and the cost of catching mistakes late both fall.
Reporting reflects the business as it is today, not as it was when someone last had time to update the spreadsheet.
First response, triage and routing continue outside office hours, across time zones, and through busy periods.
Output no longer varies with who happened to pick up the task, or how much of the day was left when they did.
Where the value is won or lost
We are vendor-neutral: the model is chosen per workflow on accuracy, cost and data handling. All names and trademarks are the property of their respective owners.
What we improve
We organise opportunities by business function rather than by industry, because the workflows that waste time look remarkably similar whether you run a clinic, a distributor, or a professional services firm.
Lead intake
Every enquiry captured, structured, and logged the moment it arrives — regardless of which channel it came through.
Lead qualification
Enquiries scored against your criteria so the sales team spends its hours on the ones worth pursuing.
Personalized follow-up
Follow-up drafted from real account context and sent on schedule, so nothing goes cold because someone was busy.
CRM updates
Records updated from calls, email, and meetings rather than from memory at the end of the week.
Proposal preparation
First-draft proposals assembled from your pricing, past documents, and the specifics of the opportunity.
Sales research
Account and contact briefing prepared before the call instead of during it.
Meeting summaries
Decisions, objections, and commitments captured and routed to the right record and the right person.
Pipeline reporting
Pipeline movement and risk surfaced on a schedule, without a manager rebuilding the spreadsheet.
Customer reactivation
Dormant accounts identified and re-approached with a reason that is specific to them.
Inquiry classification
Incoming requests sorted by type, urgency, and account so the queue reflects priority, not arrival order.
Response assistance
Draft replies prepared from your documented answers, with an agent reviewing before anything is sent.
Request routing
Each request delivered to the team that can actually resolve it, first time.
Knowledge retrieval
Answers pulled from your policies and product documentation instead of from tribal memory.
Escalation
At-risk conversations flagged and escalated before they become complaints.
Quality monitoring
Sampled conversations reviewed consistently against your standard, not just when someone has time.
Customer follow-up
Post-resolution follow-up that confirms the problem actually went away.
Feedback analysis
Recurring themes extracted from support volume and reported to the people who can fix the cause.
Workflow automation
Multi-step processes that currently rely on someone remembering the next step, run end to end.
Document processing
Information extracted from incoming documents and written into the systems that need it.
Task routing
Work assigned by capacity, skill, and priority rather than by whoever notices it first.
Scheduling
Bookings, confirmations, reminders, and reschedules handled without a coordinator in the loop.
Data entry
The same information stops being typed into three systems by three people.
Quality checks
Records checked against your rules before they move downstream, not after a customer notices.
Approval processes
Requests packaged with the context a manager needs, so approval takes a minute instead of a week.
Operational alerts
Exceptions surfaced when they happen, to the person who can act on them.
Recurring reporting
The weekly and monthly reports that quietly consume a day, produced on schedule.
Research
Market, audience, and channel research compiled into a form the team can act on.
Content workflows
Briefing, drafting, review, and publishing handled as one tracked process with human sign-off.
Customer segmentation
Segments built from actual behaviour in your systems rather than from assumption.
Personalized communication
Messaging adapted to segment and history without writing every variant by hand.
Campaign analysis
Performance explained — what moved, why, and what to do next — not just charted.
Creative testing
Variants generated, tracked, and evaluated against a metric you agreed in advance.
Competitor monitoring
Meaningful competitor changes surfaced on a schedule instead of noticed by accident.
Performance reporting
One reliable view of channel performance, produced without manual assembly.
Invoice processing
Invoices read, coded, matched, and queued for approval instead of keyed in line by line.
Expense organization
Receipts and expenses categorised and reconciled against policy as they arrive.
Document classification
Incoming paperwork identified, named, filed, and made findable.
Contract summaries
Key terms, dates, and obligations extracted so nothing important lives only in a PDF.
Payment reminders
Receivables chased consistently and politely, on a schedule, with escalation rules.
Data reconciliation
Mismatches between systems detected and flagged rather than discovered at month end.
Management reporting
The finance pack assembled from source systems on a fixed cadence.
Administrative workflows
The recurring admin nobody owns, given a defined process and a monitored owner.
Candidate administration
Applications organised, acknowledged, and tracked against the role's requirements, with hiring decisions left to people.
Interview scheduling
Panels coordinated across calendars without a chain of emails.
Employee onboarding
Accounts, equipment, paperwork, and training sequenced so week one is not improvised.
Policy assistants
Staff get accurate answers from your current policies, with the source shown.
Training support
Role-specific material assembled from your own documentation and kept current.
Internal questions
Routine internal requests answered directly, with the unusual ones routed to a person.
Document organization
Employee records filed correctly, with access limited to who should have it.
Executive briefings
A standing briefing assembled from the systems of record, ready before the meeting starts.
Automated dashboards
One current view of the numbers that matter, without a weekly rebuild.
Performance alerts
Threshold breaches raised when they occur rather than at the next review.
Cross-department reporting
Sales, operations, and finance reported on a common basis so the numbers reconcile.
Meeting-to-action workflows
Commitments captured in the meeting become tracked tasks with owners and dates.
Trend detection
Movement in volume, margin, or cycle time surfaced early enough to respond.
Decision support
Options assembled with the underlying evidence attached, so the decision stays with the manager.
Company knowledge assistants
Staff can ask the business a question and get an answer grounded in your own documents.
Policy retrieval
The current policy, not the version someone saved locally in 2023.
Procedure retrieval
The right procedure surfaced at the moment of the task.
Product information
Specifications, pricing rules, and compatibility answered consistently across the team.
Training support
New staff get to competence faster because the knowledge is retrievable, not tribal.
Document search
Search that returns the answer and its source, across the places your files actually live.
Standard operating procedure access
SOPs kept current, versioned, and used — because they are easy to reach.
How it works
Five stages, each with a defined output. You can stop after any one of them, and you own everything produced along the way.

We identify where your business is losing time, revenue, capacity, or visibility and determine whether there is a worthwhile AI opportunity.

We map the workflow, calculate the baseline, evaluate data and systems, prioritize opportunities, assess risk, and create the implementation plan.

We build one controlled, fixed-scope pilot and test it against an agreed business objective.

We connect the system to your software, establish permissions and controls, test it under real conditions, train your team, and launch it into daily operations.

We monitor quality, reliability, usage, cost, integrations, and business performance while continuously improving the system.
Go deeper
Each stage has its own page with the detail — scope, deliverables, what you own at the end. Nothing below is required reading to book a scan.
Reference
Thirty minutes, no pitch deck. You describe how the work moves through your business today; by the end you have one to three opportunities ranked, and a view on which one is worth doing first — whether or not you go further with us.
Evidence
We publish case studies only when a system is running in a client's operations and the client has approved the numbers. Everything below is labelled for exactly what it is.

A working demonstration that classifies inbound enquiries, drafts a first response for human approval, and writes the outcome back to a CRM record.

A concept system that reads incoming documents, extracts the fields a finance team needs, and queues them for approval rather than posting them automatically.

An internal test that answers procedure questions from a document set and shows the source passage alongside every answer.
Our disclosure rule. We do not present demonstrations as client projects, and we do not publish client names, logos, statistics, or testimonials without written approval. When a case study appears here it will carry a baseline, a measured result, a timeline, and a payback period.
Engagement model
Each stage is a decision point. You can stop, take the work in-house, or continue — and the scope of the next stage is quoted only once we both understand the one before it.
Free initial qualification and opportunity identification.
No cost · Apply below
Paid workflow analysis, prioritization, business case, architecture, and implementation plan.
Scoped after the Scan · May be credited toward implementation
Fixed-scope pilot built around one measurable business objective.
Fixed price · Scoped in the Roadmap
Complete integration, testing, controls, training, documentation, and launch.
Quoted to the confirmed scope
Ongoing monitoring, support, reporting, improvement, and expansion.
Monthly · Sized to systems under management
Where it starts
You do not have to know which AI you want, or have a budget approved, or have your process documented. You need one workflow that visibly costs you something, and someone internally who wants it fixed. Everything else is what the first two stages are for.
We do not publish fixed package prices, because two businesses with the same request rarely have the same systems, data quality, or volume. Pricing is quoted against a scope you have seen and agreed.
Frequently asked questions
The questions we are actually asked, answered without hedging. See all questions →
An AI implementation company takes a business problem from opportunity identification through to a system running in daily operations. That means selecting the workflow worth changing, choosing between buying, configuring, integrating or building, connecting the system to existing software, establishing permissions and human approval steps, testing under real conditions, training staff, and then monitoring and improving the system after launch. It is distinct from strategy-only consulting, which stops at the recommendation.
Opportunities are scored against eight criteria: business value, feasibility, time to value, data availability, employee adoption, operational risk, measurability, and implementation cost. The strongest first projects are usually repetitive, frequent, measurable, supported by information the business can already access, expensive enough to matter, easy for employees to review, and limited enough in scope to test safely.
No. There are four valid answers: buy an existing product when it already solves the problem, configure an existing platform when the workflow needs limited customization, integrate existing systems when the real problem is fragmented information and manual handoffs, or build a custom system when the process is unique, strategically important, or valuable enough to justify development. The goal is the most practical solution, not the most complicated one.
The AI Opportunity Scan is a free, focused initial assessment. It includes a short company questionnaire, a review of the largest operational bottlenecks, identification of one to three potential opportunities, a recommended first project, preliminary feasibility, a preliminary value estimate, and recommended next steps. It identifies potential projects. It is not a free custom build, technical architecture, security audit, or complete implementation plan.
A demonstration proves a model can produce an output. Production requires integrations, authentication, employee permissions, human approval stages, error handling, monitoring, usage and cost controls, training, documentation, and a named owner. Pilots stall when none of that operating layer is built, when the tool does not fit the actual workflow, or when nobody owns the system after launch.
Managed AI operations is ongoing ownership of a deployed AI system: monitoring output quality, investigating errors, improving workflows, prompts and models, monitoring integrations, usage and cost, reviewing access and permissions, supporting employees, reporting performance monthly, updating documentation, and reviewing new opportunities quarterly. Models, software, data, and the business all change, so the system needs an owner to stay reliable.
Opportunities are usually found by function rather than by industry: sales (lead intake, qualification, follow-up, CRM updates, proposals), customer service (inquiry classification, routing, knowledge retrieval, escalation), operations (document processing, task routing, scheduling, approvals, recurring reporting), marketing, finance and administration (invoice processing, contract summaries, reconciliation), human resources, management reporting, and internal knowledge retrieval.
Businesses with repetitive or high-volume workflows, disconnected systems, manual administrative processes, slow response or follow-up, limited management visibility, or processes that cannot scale efficiently. Two things matter more than industry: a measurable business problem, and an internal decision-maker committed to solving it.
Get started
Show us where your business is losing time, revenue, capacity, or visibility. We will help determine whether AI can solve it — and what the first practical step should be.
hello@askgeeks.ai · Vancouver, BC · remote across Canada & the US