Ship AI.
Not science projects.
Make AI easier to deploy with validated, optimized solutions — tailored to your stack, secured end‑to‑end.
Works with your cloud, your controls, your data residency. No heavy IT to start.
Value Pillars
Simple
Data‑to‑value, de‑risked.
We bring validated blueprints for common enterprise use‑cases and handle the plumbing: data readiness, connectors, orchestration, MLOps.
Augment your team.
Close skills gaps with hands‑on engineers and clear runbooks your team can own.
Start small, win fast.
8‑20 day sprints that produce running workflows, not slideware.
Tailored
Right‑sized investments.
We model cost, performance, and energy impact before build — then fit the solution to your constraints (users, latency, data gravity, compliance).
Choice, not lock‑in.
Foundation models, vector DBs, and orchestration are vendor‑agnostic. Deploy to AWS/Azure/GCP/on‑prem Kubernetes.
Efficiency first.
We implement quantization, caching, and efficient runtimes to lower unit costs without sacrificing quality.
Secure
Trusted infrastructure.
Private VPC/VNet, KMS‑backed encryption, RBAC/ABAC, secrets vaults, private endpoints.
Full‑stack governance.
Policies, guardrails, red‑team testing, audit trails, and monitoring from app→model→data.
Data stays in your control.
We minimize data movement, enforce least privilege, and align to frameworks like ISO 27001 / SOC 2.
What We Deliver
Data Readiness Program
- •Source inventory & lineage map
- •Quality & bias checks, PII/PHI classification and masking
- •Secure connectors to ERP/CRM/Docs/S3/SharePoint
- •Golden‑dataset assembly for LLM/RAG/analytics
Agentic Workflow Implementation
- •Use‑case design (procurement, finance ops, customer ops)
- •Tools/skills catalog, safety rails, human‑in‑the‑loop approvals
- •Evaluation harnesses and acceptance criteria
- •Runbooks for operations and rollback
Model & App Engineering
- •Model selection & cost/perf tuning (prompting, fine‑tuning, distillation)
- •RAG pipelines with retrieval hygiene and feedback loops
- •Front‑end UX for copilots, chat, and automations
- •Observability: latency, drift, hallucination, business KPIs
MLOps & Platform Enablement
- •CI/CD for prompts/models/agents
- •Feature stores, vector DBs, and policy engines
- •Canary deployments, eval gates, and rollback
- •Cost & energy telemetry dashboards
Security & Compliance Hardening
- •Threat modeling for AI apps
- •Data minimization and zero‑retention options
- •Red‑team playbooks and jailbreak testing
- •Audit evidence packs (controls, logs, change history)
Validated Solution Blueprints
(Examples)
Procurement Copilot & Sourcing Agents
Intake→RFP→supplier scoring→award with human approvals and full audit trail.
Vendor Risk & Compliance Scanner
Monitor documents and transactions, flag gaps, generate remediation tasks.
Document Intelligence
Contracts, POs, SOWs: extract, normalize, and synchronize key fields to ERP.
Finance Ops Copilot
Accrual explanations, variance analysis, spend anomaly detection with drill‑through to source docs.
Knowledge Search (RAG)
Policy and SOP answers with citations and freshness checks.
Engagement Models
2–4 weeks
Advisory & Architecture
Assessment, reference architecture, security posture, and a right‑sizing plan.
4‑12 weeks
Pilot‑to‑Prod
A working solution in production with SLOs, dashboards, and handover.
Monthly
Managed AI Operations
Monitoring, governance, model refresh, cost/perf tuning, and backlog delivery.
Why AIBUYER for IT & Security
Enterprise‑grade build discipline
Tests, eval gates, and rollback plans baked in.
CFO‑ready outcomes
We tie AI to measurable cost, cycle‑time, and control improvements.
Bring‑your‑own cloud
Deploy in your tenant; we leave you with operable runbooks.
FAQs
Where does data live?
In your cloud or data center. We can operate inside your tenant with privacy‑preserving settings.
Which models can we use?
Open‑ and closed‑weight options; multi‑model routing to balance accuracy and cost.
Can we avoid vendor lock‑in?
Yes. We design with interchangeable components and standard interfaces.
How do you keep it safe?
Guardrails, content filters, PII redaction, human‑approval checkpoints, and comprehensive logging.
What about energy and cost?
We forecast unit economics and energy profile upfront, then optimize with caching, quantization, and efficient runtimes.