Responsible AI engineering
We start with “Why”, align AI to your goals, then build AI systems that integrate with your architecture and deliver measurable results.
Why
responsible aI?
Responsible AI means every model is explainable, bias‑checked, and governed from source data to customer touchpoint. Skip it and pilots stall. 30 % of ML projects never reach production because of governance gaps. We fix that with built‑in controls, accelerated pipelines, and provable ROI.
- Faster time to value: production in weeks, not quarters
- Lower risk: GDPR, CCPA, HIPAA, and EU AI Act controls baked in
- Proven ROI: clients average a 22 % margin lift
Our approach
Joint workshop to frame goals, data, KPIs (P2H 72 )
Secure pipelines, feature stores, model code
Bias, drift, and security tests.
SLA‑backed APIs, dashboards in your cloud (go‑live)
Continuous retraining & ROI reporting every sprint
Our capabilities
Each capability is backed by SmartOps AI monitoring and policy-as-code governance to keep models reliable, secure, and compliant.
Two‑week assessment that benchmarks data quality, governance, and model‑readiness, then delivers a prioritized roadmap for value delivery.
Workshops, playbooks, and hands‑on tooling that empower internal teams to operate and extend AI safely and independently.
Unified console that tracks drift, bias, and SLA metrics, triggering automated retraining and compliance reports.
Domain‑specific co‑pilots such as contract‑risk reviewers, revenue‑ops playbook advisors, and multilingual support bots, connected via secure APIs to your CRM, CMS, and ticketing systems.
Design and build lakes, feature stores, and automated ETL pipelines that feed models with trusted, structured information.
Deploy forecasting and optimization models directly into dashboards and applications, driving real‑time marketing, supply‑chain, and CX actions.
Why partner with P2H Forge for Responsible AI?
Proven AI playbooks from 20 years of data
Our framework applies insights from 130,000+ past projects to inform model selection, feature engineering, and deployment strategies, reducing guesswork and iteration.
Rapid-start AI toolkits
Curated datasets, prebuilt feature-store schemas, and GPT-agent prototypes accelerate proof-of-concept delivery by up to 80%, so you validate value before major build-out.
Built-in ethical & regulatory guardrails
From data ingestion to inference, our pipelines enforce GDPR, CCPA, HIPAA, and AI ethics policies automatically, ensuring transparent, auditable model decisions.
Seamless partner integrations
Building up on integrations with OpenAI, AWS SageMaker, Azure Cognitive Services, and Databricks enable faster access to cutting-edge AI services, co-funded pilots, and priority support.
AI use cases
Realtime personalisation engine
CRM‑embedded agent serves next‑best offers and content.
Digital brand & UX optimiser
Computer‑vision + analytics audit live assets vs. benchmarks.
Predictive journey orchestration
Automates cross‑channel campaign set‑up and budget re‑allocation.
AI onboarding coach
Interactive mentor personalizes training pathways for new hires.
↓ training cost
Autonomous IT service desk
AI resolves routine L1–L3 tickets and auto‑logs diagnostics.
Knowledge Copilot
GenAI surfaces SOPs, briefs, and past decisions through natural‑language chat.
Predictive demand & inventory optimizer
ML forecasts connect to ERP reorder points automatically.
Always‑on Marketing Mix Modeling (MMM 2.0)
AI reallocates spend to highest‑ROI channels daily.
Dynamic pricing engine
Real‑time price updates optimize margin per SKU.
Customer stories
How we developed the HelloHealth Clinic website
- Rapid Webflow launch completed in 14 days
- Memberstack-enabled flexible premium content gating
- Zapier-powered Webflow forms, zero HubSpot fees
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Our leaders
Kateryna Didenko
Andrii Liashenko
Evgeniya Karelina
Featured insights
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Check also
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