Arhasi, Agentic Automation and Data Intelligence

De-Risk Enterprise Al. Accelerate with Embedded Experts.

Arhasi de-risks and accelerates enterprise Al with a modular fabric that transforms concepts into production-ready workflows in weeks-powered by embedded hybrid experts who work alongside your teams to deliver impact faster.

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400+

Projects Competed

15+

Successful Years

98%

Client Retention

30+

Countries

Our Delivery Philosophy

Our team is comprised of experts from the top Fortune 100 companies, across industries, and from around the world. We are here to help you every step of the way in your AI journey.

Embed & Empower

Forward Deployed Engineers work alongside your team to align context, shorten feedback loops, and ship faster.

Architect for Scalability

Design data, model, and platform foundations that evolve with your needs.

Deliver with Confidence

Blend engineering rigor with user-centric Al design, governance, and clear success metrics.

The Forward Flair Methodology

Three intersecting pillars create meaningful Al solutions

Architecture

Build the Right Solution

Data foundation, model selection, privacy & security, observability, and platform choices (cloud on-prem).

Development

Build it the Right Way

Modular services, GenRAGM pipelines, CVCD for models, eval harnesses, automated testing.

Delivery

Embed the Right Expertise

Outcomes mapping, change management, enablement, documentation, governance, and handover

Discovery

Identify priority problems and map Al opportunities.

Farming

Rank use cases by feasibility, risk, and RO, define success

Rapid Prototyping

Build a Minimum Viable Al Product (MVAP) to validate quickly

iterate & Deliver

Deploy to production with evals, monitoring, and feedback.

Scale

Expand successful patterns across teams and workflows.

Closer to your product. Closer to the Outcome

Hybrid experts embedded with your team across Architecture, Development, and Delivery.

Embed & Align

Sit with product, data, and engineering to co- own goals, backlogs, and guardrails.

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Build

Ship working AI-RAGELM agents, evaluators, and analytics experiences

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Operationalize

Stand up M.Ops, monitoring, evals, and rollback paths, create playbooks and docs

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Uplift

Pair program, train, and enable your team so value compounds after we leave

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Architect

Choose the right data, model, and infrastructure patterns for scale, cost, and security

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Build for impact

Our team is comprised of experts from the top Fortune 100 companies, across industries, and from around the world. We are here to help you every step of the way in your AI journey.

Shorter feedback

loops

(Days, not weeks)

Deeper domain understanding

(Context lives in the room)

Higher

adoption

(Product + Engineering tradeoffs made together

Why forward Flair Works

Our team is comprised of experts from the top Fortune 100 companies, across industries, and from around the world. We are here to help you every step of the way in your AI journey.

Embedded Expertise

Strategy meets hands-on engineering.

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AI-Native Apporach

GenAI + ML + RAG with robust evals.

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Outcome-Driven

Every deliverable maps to an agreed metric.

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Trustworthy AI

Security, privacy, and auditability by design.

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Deliverables That Drive Outcomes

From architecture and guardrails to working Al services, we deliver the complete stack of artifacts, tooling, and governance you need to run Al in production.

Architecture & Guardrails

Data schemas, model cards, security & privacy controls

Working AI Services

RAG/agents, evaluators, analytics surfaces, APIs

MLOps Tooling

CVCD for models, eval hamesses, monitoring & alerts

Enablement

Runbooks, playbooks, workshops, and handover docs

Security

Enterprise-grade controls: encryption, identity management, monitoring, and threat protection

Governance

Lineage, audit trails, bias & drift reporting, change control

Flexible Timeline Options

Get value fast-then scale with confidence.

Phase 1: Prioritize

Days 0-10

Rapid discovery of top 15-20 candidate use cases
Select 10 high-value, low-friction opportunities
Define success scorecard (RO latency/quality targets, risk)

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Phase 2: Quick Wins

Days 11-40

Deploy 3-4 agents/services focused on efficiency or insight
Examples: Helpdesk Copilot, Invoice/Ticket Triage, Knowledge Agent, Ops Intelligence
Begin measuring impact with live dashboards & eval

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Phase 3: Scale & Measure

Days 41-100