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Enterprise AI infrastructure
Scroll to move through the platform experience: one consistent interface, evolving use cases, and measurable governance at scale.
Platform narrative
Artefacto41 is designed to move organizations from experimental AI usage to governed operational execution. Instead of spreading tools across teams, we create one platform where strategy, daily execution, and measurable value are connected.
Strategic alignment
Artefacto41 begins with operational intent, not tooling. We map each implementation to a concrete lever such as cycle time, response quality, cost-to-serve, or throughput so adoption has direction from day one.
ObjectiveDefine a measurable target before rollout: what improves, for whom, and by how much.
OutcomeLeadership gets AI initiatives tied to outcomes, not disconnected experiments.
Operational execution
Teams run assistants, document intelligence, SQL flows, and task execution from a unified workspace. No context switching, no scattered prompts, and no loss of institutional know-how between tools.
ObjectiveMove from isolated chats to repeatable workflows embedded in real operations.
OutcomeAdoption becomes daily behavior across teams instead of occasional usage spikes.
Governance and economics
Centralized governance and usage intelligence make scale safe and sustainable. Teams get flexibility to execute while leadership keeps visibility on value creation, model usage, and operational spend.
ObjectiveCreate guardrails that protect data, quality, and budget while preserving speed.
OutcomeOrganizations scale adoption confidently with transparent economics and policy control.
Evolving capability
As priorities evolve, new tools, automations, and integrations are implemented on top of the same foundation. You keep governance, UX consistency, and shared context while expanding what AI can do for the business.
ObjectiveExtend capability quickly without multiplying contracts, interfaces, or risk.
OutcomeThe platform becomes long-term infrastructure for AI adoption across the organization.
Adoption playbook
01
Frame the objective
Define the KPI and operating constraint the rollout should improve.
02
Deploy where impact is visible
Launch focused workflows tied to teams, decisions, and measurable outputs.
03
Scale with governance
Track quality, usage, and cost to iterate continuously with evidence.
REAL AI ADOPTION
The objective is not to deploy another assistant. It is to redesign how teams decide, respond, and execute with AI as a daily layer of work. All in one platform for simple requests, advanced workflows, and organization-wide adoption without seat-based cost penalties.
Who is it for
Adoption does not become transversal by licensing alone. It becomes transversal when every function can execute meaningful work in one governed environment, with the right level of guidance and visibility.
01
Standardize execution, reduce repetitive work, and keep decisions auditable.
Consistency, throughput, and auditability
02
Accelerate response quality while preserving tone, policies, and data boundaries.
Response quality, speed, and trust
03
Drive adoption with measurable usage, clear governance, and extensible architecture.
Governance, economics, and scale
04
Use text and image models to produce campaign drafts, localized assets, and faster creative iterations with brand guardrails.
Creative velocity and brand consistency
05
Automate recurring reporting, reconcile data from multiple systems, and build controlled workflows for approvals and forecasting support.
Accuracy, control, and cycle-time reduction
06
Streamline policy responses, onboarding support, and internal knowledge access while keeping sensitive employee information protected.
Employee experience and policy compliance
07
Review documents faster, summarize obligations, and run guided workflows that preserve traceability and governance requirements.
Risk management and traceability
08
Support discovery, documentation, and delivery with tailored workflows, from lightweight assistants to complex task orchestration.
Execution quality and team leverage
09
Reduce repetitive coordination work, standardize requests, and empower more employees with useful AI access beyond specialist teams.
Broad adoption and operational efficiency
Pricing approach
We charge a flat deployment fee, an optional recurring service, and scoped costs for extra implementations. The comparison below uses the same estimator logic from the calculator route so teams can evaluate monthly economics against seat-based alternatives.
Cost comparison
Compare the modeled monthly cost against common seat-based alternatives.
Artefacto41
$1,922
ChatGPT Business
Save 49% with Artefacto41
$3,750
Microsoft 365 Copilot
Save 57% with Artefacto41
$4,500
Perplexity Pro
Save 36% with Artefacto41
$3,000
Estimated monthly cost: $1,922
Year 1 estimate: $23,068
Estimator constants are synced with the calculator model (as of 2026-02-06).
Why was it created?
Across enterprise implementations, we repeatedly saw the same pattern: AI is either limited to managers and strategy teams, or rolled out broadly without accountability. In practice, many licensed users barely use the tools, use only the simplest prompts, or use them in the wrong way for the task. That creates a gap between spend and impact.
01
When AI is concentrated in leadership layers, frontline teams keep operating with old workflows and adoption stalls.
02
Giving AI to everyone without guidance, governance, and usage visibility creates seat costs and low-value usage without proportional operational gains.
03
Teams need guardrails, enablement patterns, and analytics to understand who is adopting, how they are using AI, and where outcomes are being created.
04
A shared platform should support simple daily use cases and advanced ad hoc workflows, while broadening access across teams without cost penalties per user.
FAQ
We use a flat deployment fee, an optional recurring maintenance/supervision fee, and scoped pricing for additional implementations such as new tools, workflows, or integrations.
Yes. The platform is designed to start with a focused use case and scale progressively across teams while keeping governance and UX consistency.
Yes. Integrations are part of our implementation model, and we scope them based on business impact and operational priority.
Your company does. Deployments run under your infrastructure and your own contracts with database and AI providers. Artefacto41 acts as the interface and orchestration layer, so compliance stays anchored in those provider agreements while your company retains ownership and control of all data.
No. It includes conversations, document intelligence, SQL/agent workflows, governance controls, and extensible operational tooling in one platform.
Timelines depend on scope, but we typically define a first production milestone quickly and iterate in phases aligned to measurable business outcomes.
Contact
Share your current context and we'll come back with a concrete rollout proposal.
