AI-Native Technology Consulting

Let AI do
vendor follow-ups.while your team
focuses on what matters.

Decades of deep engineering experience. End-to-end AI systems built into how your operations already run.

80% reduction in manual operations time — the same target we set for every engagement.

Book a Free Operations AI Discovery Call See how it works

80%

Average task time reduction across engagements

30d

First measurable outcomes delivered within 30 days

100%

Team adoption - built into tools your team already uses

0Downtime

Downtime. Phased rollout - your business never stops.

Taking on 3 new engagements this quarter - discovery calls open

Experience earned in complex environments

The problem

Your operations team is managing the business by email and spreadsheet while your competitors automate.

Mid-market manufacturers face a specific trap: too complex for off-the-shelf software, too stretched to build custom systems, and too busy running today's operations to stop and redesign them. The result is that your team runs critical workflows — procurement, vendor management, quality reporting, customer orders — through a patchwork of email threads, spreadsheets, and tribal knowledge.

That's not a technology problem. It's an automation gap. And it's exactly the gap we build into.

01 — The Procurement Problem

Your procurement team spends more time on email than on supplier strategy.

RFQs sent manually. Follow-ups tracked in spreadsheets. Lead times chased by phone. PO status managed by memory. Every one of these touchpoints is a structured, repetitive workflow that should be running on AI — not consuming your team's attention.

02 — The Reporting Problem

Quality control data exists everywhere. Useful reports exist nowhere.

Your QC data is captured across multiple systems, shift reports, and paper forms. Getting a coherent picture of what's happening on the floor requires hours of manual aggregation. That's not analysis — that's data wrangling. Your operations leaders should be acting on insights, not building the spreadsheet to find them.

03 — The Customer Order Problem

Order management is a full-time coordination job that AI should be doing.

Confirming orders, updating delivery timelines, chasing production status, communicating exceptions — your team spends a significant portion of their day on outbound customer communication about information they had to go find themselves first. That's two manual steps where there should be zero.

"The most competitive mid-market manufacturers aren't adding headcount to handle growth. They're automating the coordination layer that was consuming it."

The gap between manufacturers who've automated their operations and those who haven't is widening every quarter. ERP systems told you what happened. AI systems — built into how your team actually works — tell you what's happening, handle the follow-up, and escalate the exceptions. That's not software. That's infrastructure for how your business operates.

How we work

From purchase order to delivery confirmation — the coordination and reporting layer runs on AI. Your team handles the decisions.

Every engagement starts with understanding your business from the inside - your processes, your tools, your team. Then we build phase by phase, so you see real outcomes fast without betting the whole operation on a single rollout.

Phase 01

Days 1 - 5

Discover

We map your procurement cycle, vendor communication flow, quality reporting process, and customer order management. We identify where your team's time is being consumed by coordination work — and build the strategy to automate it, starting with the highest-frequency, lowest-judgment tasks first.

Deep-dive interviews with your team

End-to-end process mapping

Prioritised opportunity identification

Phased AI strategy with clear ROI targets

Phase 02

Phased Rollout

Build

Agentic procurement follow-up (email + phone + status tracking). Automated QC report generation from existing data sources. Customer order status communication triggered by production events. Connected to your ERP, your email, and your existing tools — no new software for your team.

Custom AI agents, not off-the-shelf

Embedded into tools you already use

Deterministic pipelines where possible

Human approval on every AI output

Phase 03

Ongoing

Evolve

Supplier performance data feeds back into procurement decisions. QC anomaly detection improves with every production run. Customer communication becomes proactive rather than reactive. The system gets smarter with every workflow it handles.

User testing and rapid iteration

Learns from approvals and rejections

Continuous new data ingestion

Real-time integrations with live data

Work

Built, shipped,
measured.

Healthcare Technology

BrainCompass by Intelliscape

Built a complex multi-source data pipeline and automated workflow platform — the same architecture we apply to manufacturing operations: deterministic data extraction, agentic follow-up, and human approval on every output.

View project

Research-backed impact

“McKinsey's 2026 State of AI report found that organizations using AI for operations and workflow automation are outperforming peers across revenue growth, cost efficiency, and employee retention.”

Source: McKinsey Global Survey, November 2026

Open slot

Mid-market manufacturer engagement in scoping.

Automated procurement follow-up, QC report generation, and customer order communication. Targeting 60% reduction in manual coordination time. Case study publishing H2 2026.

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Engineering depth

We don't advise on tech.
We build it.

AI & Agents

LLM Fine-tuningRAG PipelinesAgent OrchestrationGuardrailsOpenAIAnthropicLlamaLangChainVector DBs

Cloud & Infrastructure

AWSGCPAzureKubernetesDockerTerraformMicroservicesServerless

Engineering

PythonJavaNode.jsReactFastAPIREST / GraphQLPostgreSQLRedis

Security & Compliance

HIPAASOC 2On-Prem AIData GovernanceEncryptionAccess ControlAudit Logs

Data & Analytics

Data PipelinesETLKafkaSparkSnowflakeBigQuerydbtAirflow

Integrations

Google WorkspaceMicrosoft 365SalesforceHubSpotSlackEHR SystemsBrowser AgentsCustom APIs

MLOps & Deployment

Model DeploymentHybrid CloudCI/CDMonitoringA/B TestingModel VersioningRollbacks

Workflow Integration

Zero New ToolsExisting UIGmail AgentsDocs AgentsCRM AgentsVoice AgentsWeb Scrapers

The team

Builders who've been on
both sides of the table.

Vaarun Sinha

AI & Product Engineering

A serial builder with multiple startups shipped and deep, hands-on AI and agent engineering experience. Has seen the gap firsthand - mid-market companies with real AI budgets and no trusted partner to actually build what they need. Combines startup execution speed with production-grade engineering standards.

AI AgentsLLM EngineeringStartupsFull StackProduct

Vinod Sharma

Enterprise Architecture & Cloud

30+ years inside the world's most demanding technology environments - IBM, Morgan Stanley, PepsiCo, Northwestern Mutual, Bank of Tokyo Mitsubishi. Knows what breaks at scale, what decisions age badly, and what it takes to build systems that last. Brings enterprise-grade architecture thinking to every engagement.

IBMMorgan StanleyCloud ArchitectureEnterprise Systems30+ Years

Our guarantee

You don't commit until
you've seen it work.

Proof of concept first. Payment later.

Every engagement starts with a focused proof of concept - we take one real problem from your business and solve it. If you're not satisfied, we return the consulting fee. No conditions. No questions.

You see real results before committing to a full engagement

Unsatisfied with the POC? Full refund, no questions asked

Phased rollout - you control the pace and the risk

First outcomes visible within 30 days of engagement start

We don't give you a deck and disappear.

We're engineers. We stay in the build until the system is running, adopted, and improving. Strategy without execution is just a slide.

Your data stays yours, always.

All data governed in-house. Hybrid architecture - your sensitive information never leaves your control, even when runtime is in the cloud.

No adoption risk.

We build into tools your team already uses. If they use Gmail, the AI agent uses Gmail. Zero new software. Zero resistance to change.

Ready to see what AI can take off your operations team's plates?

We'll map one process in your operation — procurement, quality reporting, or order management — and show you exactly how we'd automate it. You see results before you commit.

Free 30-min discovery call

We map one process and show you the opportunity

Proof of concept first

We solve one real problem before you commit

Satisfaction guaranteed

Not satisfied with the POC? Full refund, no questions

Book Your Free Discovery Call

Let AI dovendor follow-ups.while your teamfocuses on what matters.