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35%
faster resolution
Customer service workflow
Customer service workflows resolved 35% faster at a Tier 1 North American telecommunications provider, with AI routing requests and attaching relevant context on arrival.
One AI workflow. In production. Measured against your baseline.
Architech redesigns the operational workflows that drive your cost and speed, then builds them into production: simple workflows in weeks, complex ones within 90 days.
Trusted by operational leaders across Canada
22 years designing and building critical business systems.
Not sure where AI will actually deliver value?
We identify high-impact workflows, define measurable outcomes, and show exactly what to build next.
Explore AI JumpstartNot sure how to deploy AI safely on your data and systems?
Start with controlled workflows, governed systems, and the data and integration foundations that make AI safe to deploy.
Explore AI FoundationsStuck between prototype and production?
We turn approved AI roadmaps into production workflows, measured against your baseline.
Explore Workflow Transformation
AI Workflow Transformation DiagnosticFree · About 10 minutes
See where AI will actually pay off in your operations.
Pick one workflow that matters to you and answer a few focused questions. You get a workflow-specific read on where AI can deliver measurable impact, what stands in the way, and the right first step for your situation.
No maturity score. No generic readiness grade. No boil-the-ocean roadmap. A clear, honest read on the one workflow you choose.
Start the diagnostic
Email required after the fifth question. Your results are built around the workflow you name.
What you receive
- A workflow-specific read on the one process you choose, not a generic AI-readiness grade
- The provisional risks that would block, slow, or add cost to change, and the minimum work to clear each one
- An honest view of what a short self-serve scan can and cannot see
- One recommended first step, reasoned from your own answers
- A three-line summary you can forward to a CFO or CEO in a single paste
The Execution Gap
Why most AI efforts fail
And how the Work Redesign System closes each gap.
AI fails because the system around it is incomplete, not because of the technology.
No clear outcome defined.
AI starts with ideas, not a measurable target or a defined workflow to redesign.
AI Jumpstart defines the workflow and success metric before execution begins.
No production readiness.
Data, integration, governance, and security are not in place for real deployment.
AI Foundations establishes the production stack: data pipelines, security, governance, observability.
No workflow redesign in production.
AI is applied to tasks or demonstrated in isolation, instead of changing how decisions flow through real operations.
Workflow Transformation redesigns and deploys the workflow into live operations, measured against baseline.
No adoption or sustained ownership.
Systems are deployed, but not used, measured, or improved over time.
Workflow Activation drives adoption, tracks performance, and scales what works.
Outcome Assurance validates delivered value against baseline and keeps committed KPIs on track over time.
What We Do
Architech redesigns operational workflows and builds the AI systems that run them.
Most AI efforts fail because they apply technology without changing how work actually flows. Architech takes a different approach. We identify the workflows with the greatest operational value, redesign them with AI at the centre, deploy them into production, and measure the results against baseline.
- Identify the highest-value workflows
- Redesign how decisions flow through the operation
- Deploy into production and measure against baseline
- Drive adoption and scale what is proven
One team carries through from scoping to scale. No handoffs, no rotating consultants, no lost context.
Engagement model
How to engage
Four stages, each with a clear decision gate. Not every workflow follows the same path - Foundations and Transformation can run in parallel, and some workflows move directly from Jumpstart into Transformation.
Each stage has a defined outcome and a decision gate. You know when to proceed, when to refine, and when to stop.
Operational Impact
Impact in production
When workflows are redesigned, the impact appears in operational outcomes.
60%
faster cycle time
Document & decision workflow
Document and decision workflows completed 60% faster at a national logistics operator, with AI handling extraction and classification inside the redesigned flow.
3×
faster information retrieval
Knowledge workflow
Knowledge workflows retrieved answers 3× faster at a multi-division enterprise operator, replacing manual search across disconnected systems.
Results from production engagements. Engagement-specific outcomes available on request.
See full outcomes.Cost of doing nothingFree · About 2 minutes
What is the status quo costing you?
Pick the workflow that matters most and set the sliders to how the work actually runs. Every figure is built from your own numbers, not our projections.
No savings promises. A structural read on how much of one workflow's annual cost sits in the steps AI typically touches.
Open the cost calculator
Built entirely from your own numbers. The diagnostic later opens pre-filled with what you set here, so nothing is asked twice.
What you get
- A dollar figure for what one workflow costs to run for a year, at your settings
- The cost of waiting, projected over the months until you act
- The share of that cost sitting in steps AI typically touches: synthesis, routing, classification, retrieval
- A one-page summary you can download and forward to a CFO or CEO
- A direct hand-off into the diagnostic, pre-filled with what you set
The AI Operating System
The system that makes AI work in operations.
AI delivers impact when workflows, systems, and measurement operate as one integrated system, built for how your operation actually works - not a generic platform. This system is implemented through the Work Redesign System, from defining outcomes through to adoption and scale.
Enterprise AI Architecture
Outcome Assurance[Harness]
- Evaluation & Golden Datasets
- Governance
- Security
- Observability
- Cost & FinOps
The harness that spans every layer - evaluation, governance, security, cost, and observability wrapped around the whole system, so committed outcomes stay on track in production, not just at launch.
Operational Workflows[Intelligence]
- Workflow Execution
- Decision Support
- Knowledge Access
- Revenue Operations
- Orchestration
- Human-in-Loop Controls
The workflows where impact is created - executed, orchestrated, and routed with human judgment on the exceptions that matter.
AI Decision and Automation Layer[Models]
- Agents & Models
- Foundational LLMs
- Domain-Specific SLMs
- Traditional ML Algorithms
- Model Ensembles
- Model Monitoring & Evaluation
The model stack matched to each task - foundational LLMs, domain-specific and modality-centric models, and classical ML, monitored and evaluated in production.
Data and Systems Foundation[Context]
- Core Systems
- Data Pipelines
- Retrieval Systems
- Domain Knowledge Graphs
- Document Processing
- Security & Identity
The domain context AI reasons over - core systems, pipelines, retrieval, and knowledge graphs that ground decisions in how your operation actually works.
Each layer integrates with the next. Designed from the start as a system.
Why Architech
What you are really choosing between.
Most operationally complex mid-market buyers weigh Architech against four alternatives. Here is where each one stops short, and what we do instead.
| If you are considering | Their limit for a complex mid-market buyer | The Architech counter |
|---|---|---|
| A strategy firm | Billed by time and headcount, often six figures and months before anything ships. You get a roadmap. | Fixed-fee entry from $9,900, a Sprint under the Acceptance Guarantee, and a workflow in production. You get a running system, not a slide. |
| A system integrator | Scale and breadth, often junior-staffed and time-and-materials, with AI folded into a larger program. | One senior pod, no handoffs, priced to a defined outcome, with the Architech Groundwork lowering your cost to build. |
| An AI vendor | Sells you a platform or seats. You still have to redesign the workflow and drive adoption, where most of the value is lost. | Model-agnostic. Code lives in your tenancy behind your identity provider. The workflow, not the tool, is the unit of work. |
| A boutique AI agency | Bold guarantees that mean "we keep working free," self-reported cases, and hidden pricing. | Published prices, production-measured outcomes with baselines, and a guarantee with teeth: no fee if Sprint outcomes are not accepted. |
A strategy firm
Their limit for a complex mid-market buyer
Billed by time and headcount, often six figures and months before anything ships. You get a roadmap.
The Architech counter
Fixed-fee entry from $9,900, a Sprint under the Acceptance Guarantee, and a workflow in production. You get a running system, not a slide.
A system integrator
Their limit for a complex mid-market buyer
Scale and breadth, often junior-staffed and time-and-materials, with AI folded into a larger program.
The Architech counter
One senior pod, no handoffs, priced to a defined outcome, with the Architech Groundwork lowering your cost to build.
An AI vendor
Their limit for a complex mid-market buyer
Sells you a platform or seats. You still have to redesign the workflow and drive adoption, where most of the value is lost.
The Architech counter
Model-agnostic. Code lives in your tenancy behind your identity provider. The workflow, not the tool, is the unit of work.
A boutique AI agency
Their limit for a complex mid-market buyer
Bold guarantees that mean "we keep working free," self-reported cases, and hidden pricing.
The Architech counter
Published prices, production-measured outcomes with baselines, and a guarantee with teeth: no fee if Sprint outcomes are not accepted.
Why we get faster
We have seen your workflow before.
Every engagement leaves reusable parts behind - the patterns, data, and domain knowledge specific to how your kind of operation runs. The next time we see a workflow we have seen before, we do not rebuild it. You feel that as faster delivery and a lower cost to build.
Seen it before
22 years of production delivery means most operational workflows are not new to us. We have redesigned customer service, M&A, terminal operations, document review, and knowledge workflows before.
Reused, not rebuilt
Agent architectures, skills libraries, evaluation datasets, templates, connectors, and governance patterns carry from one engagement to the next. We call it the Architech Groundwork, and we do not start at zero.
You feel it as speed
Same discipline, lower cost to deliver, first proof of value in production in five to seven weeks. Reuse is not a discount. It is a lower starting cost.
Where This Works Best
Built for operationally complex organizations.
Designed for mid-market organizations with complex workflows and limited internal AI capability.
Architech is the right partner when:
- Decisions move slowly through approvals
- Information is fragmented across systems
- Operational workflows are complex and high-volume
- Leadership wants AI deployed safely and deliberately
- Internal teams are running pilots but lack a production model
Common Questions
What leaders ask before starting
No. The AI Foundations Sprint defines the secure access pattern in 2-3 weeks, validates it against real operational data in a controlled environment, and produces the reference architecture every subsequent workflow uses. Data readiness is part of the engagement, not a prerequisite to it.
Each stage is time-boxed. AI Jumpstart: 2-3 weeks to a scored workflow shortlist and defined Proof of Value. AI Foundations: 2-3 weeks to a validated access pattern and executive go/no-go decision. Transformation Sprint: 3 weeks to the Outcome Ledger, plan of record, and measurement baselines, concluding with a scoped Proof of Value. The Build follows: simple workflows ship in weeks, complex ones within 90 days. First proof of value in production within 5-7 weeks is the typical path.
The right entry point depends on where the work has stalled. Approved roadmap with no plan to deploy → Transformation Sprint. Security, governance, or data access blocking the work → Foundations. Workflows shipped but KPIs slipping → Outcome Assurance. Licences bought without measurable ROI → Jumpstart reframes the problem around workflow outcomes, not tools.
Evaluation is tied to your business KPI, not model behaviour. A model can score high on relevance and groundedness while cost-per-resolution drifts back to baseline. Architech builds a Golden Dataset of real queries and verified expected outputs with your SMEs, tests semantic behaviour, structural integrity, and end-to-end correctness independently, runs the dataset on a defined cadence, and adds every regression back so it cannot recur. Drift is caught in engineering before it surfaces in the P&L.
No. Foundations and Jumpstart frequently run in parallel. Some workflows move directly from Jumpstart into Transformation. Transformation Sprint and Build are sold separately, so the plan stands on its own before any commitment to deliver. Outcome Assurance runs continuously after deployment - it is a discipline, not a stage.
The entry points are fixed-scope: AI Jumpstart starts at $24,100, the AI Foundations Sprint starts at $9,900, and the Workflow Transformation Sprint starts at $28,300. The Transformation Sprint is success-based: acceptance criteria are confirmed in Week 1, and if outcomes are not accepted at the end, no fee is charged. Production builds and ongoing work are priced to scope once the plan is set. All prices are in Canadian dollars and exclude applicable HST. Full details are on the Pricing page. Capital follows confidence.
No. Sprint and Build are sold separately. Each Sprint produces a decision-ready output that stands on its own. The Build follows when the plan is approved, using the same architecture, baselines, and acceptance criteria established during the Sprint. There is no upfront commitment to the full arc.
Most enterprise AI projects miss their KPIs by month six. Outcome Assurance is the discipline that prevents it: continuous evaluation tied to your KPI, a Golden Dataset that grows across the engagement lifecycle, regression sets that prevent recurrence, and a dedicated team accountable for the outcome metric month-over-month. The number on the P&L holds for as long as you own the workflow.
The AI Foundations Sprint addresses these directly. Two to three weeks, senior-led, ending in a documented security posture, a validated access pattern proven against real operational data, and an executive go/no-go decision. Identity, role-based access, audit traceability, and data residency are scoped explicitly. Capital is committed against evidence, not architecture diagrams.
Architech builds. Sprints produce decision-ready plans; Architech delivers the production builds that follow, with one team carrying through from scoping to scale. No handoffs, no rotating consultants, no lost context.
AI is redesigning work.
Start deliberately.
If you are defining where to act, start with Jumpstart.
If you are ready to deploy, speak with engineering.
Measured in production: 35% faster resolution, 60% faster cycle time, 3x faster information retrieval.