AI That Actually Works for Your Business

Real systems. Real outcomes. Built by a team that understands your business and the technology behind it.

AI is not complicated. Bad implementations are.

Most businesses that have tried AI and walked away did not have an AI problem. They had an implementation problem. The wrong tool, applied to the wrong process, without the right foundation underneath it.

We are software developers and machine learning experts. When AI is matched to the right problem and built properly, the outcomes are not incremental. One client replaced a data processing system costing over $3,000 a month. The replacement costs under $50 a month, runs on any current AI platform, and their team manages it themselves without writing a line of code.

$3K

per month, reduced to

$50

Same outputs. Client-managed.

What We Do

ManagePoint provides AI services across three areas. Each is built around real outcomes, not theoretical roadmaps.

Agentic Workflows

AI systems that connect to your existing tools and automate the processes your team is still running manually. We build it, deploy it, and hand it off in a state your team can operate and extend without developer involvement.

AI Strategy and Prompt Engineering

We help businesses build an AI strategy grounded in their actual operation, then design the prompt systems and tools that make it work in practice. From readiness assessments to standalone prompt engineering engagements.

Advanced AI Systems

Production-grade AI builds for organizations that have moved past the experimentation phase. Multi-agent systems, RAG architectures, custom integrations, and legacy system replacements, built by a software development and machine learning team.

Where Does Your Business Stand?

Our AI readiness assessment evaluates your organization across seven dimensions designed specifically for Canadian businesses, accounting for PIPEDA, CASL, and provincial requirements.

Two versions are available. The lite assessment takes about three minutes and gives you an immediate snapshot. The leadership assessment provides scored pillar breakdowns and prioritized recommendations for ownership groups making AI investment decisions.

01

Strategic Vision

02

Data Readiness

03

Technology Infrastructure

04

People and Skills

05

Culture and Change Management

06

Governance and Ethics (PIPEDA, CASL)

07

Financial Readiness

Built. Deployed. Running.

We build what the work actually requires. Every engagement is different. Here is a sample of what that looks like.

Client Example

$3K to $50

Per month. Data adjudication system.

A data aggregation and adjudication client replaced a purpose-built legacy processing system with a multi-agent AI workflow. Same outputs. A fraction of the cost. Managed by their own team without developer involvement.

Client Example

1 hr saved

Per client meeting. Investment advisor tool.

A prompt-engineered tool for a financial advisor that pulls current plans and five-year performance, compares against recommendations, calculates the delta, and builds a PowerPoint presentation. One hour saved per client meeting.

Client Example

Marketing Report Automation

Connects to your existing marketing tools including HubSpot, Klaviyo, Shopify, Google Analytics, Meta, and more and produces one consistent monthly report with insights. No manual assembly. No version inconsistencies.

Client Example

Internal Knowledge Base RAG

An internal knowledge base built on retrieval-augmented generation, allowing staff to ask natural language questions of internally developed software documentation. Faster onboarding. Fewer interruptions to senior team members.

Common Questions

What we hear most often from businesses exploring AI for the first time.

Most AI tools fail to stick because they are deployed as standalone products rather than built into the way work actually happens. When someone has to remember to open a separate app, adoption falls off quickly. What we build connects directly to the tools your team already uses and automates specific processes rather than asking people to change their habits. The question we start with is not which AI tool to buy – it is which process to target and whether the conditions are right to automate it.

Good candidates tend to share a few characteristics: they are repetitive, they follow a consistent enough pattern that a set of rules can describe them, they consume meaningful time, and the output can be verified. Our AI readiness assessment helps identify where those conditions exist in your operation. If you would rather just talk through it, a discovery call works too – we ask a lot of questions about how your team actually spends its time.

No. Most of our clients are small and mid-sized businesses without dedicated IT staff. We handle the technical side and build systems your team can operate without ongoing developer involvement. The handoff and documentation we provide is designed for business operators, not developers.

It depends on what you need. The AI readiness assessment is free and takes about three minutes. If you want the scored leadership version with recommendations, that is a conversation. For a build engagement, we scope every project individually and give you a written estimate before work begins. There is no standard package because every business and every process is different.

For a focused workflow build, your team is typically using it within two to four weeks of a signed scope. For more complex multi-agent systems or legacy replacements, plan for four to ten weeks. The financial advisor tool that saves an hour per client meeting was built and deployed in under three weeks. The data adjudication system that went from $3,000 a month to $50 took about six weeks including testing against live data.