AI systems that work, not just talk.

We build AI thatdoes the work.

OnePrism designs and deploys production-grade AI agents that understand your business, make decisions and complete entire workflows.

No commitment · Founder-led call · Working agent demonstration
35+
AI & software products shipped
87%
Avg. workflow time saved
8 wks
Median agent delivery
24/7
Agents run autonomously

Trusted by founders & enterprises across 6+ industries

AimFox LLPLoveMySkoolPict-O-PreserveMedChaayaFocusDashAppleTechVaiCon 2025KnackClockFitNexusTKI VadodaraAsian EnterpriseAimFox LLPLoveMySkoolPict-O-PreserveMedChaayaFocusDashAppleTechVaiCon 2025KnackClockFitNexusTKI VadodaraAsian Enterprise

From chaos to autonomy

What actually happens inside an agent

01 · Inputs arrive

Your business is a stream of unstructured events

Emails, CRM records, invoices, documents, support conversations and database changes — arriving constantly, in no particular order.

  • Email
  • CRM
  • Documents
  • Databases
  • Support tickets
  • APIs

02 · Perceive

The agent reads everything, in context

Retrieval over your documents and history gives the agent the same context a trained employee would have — without the ramp-up time.

  • Retrieval
  • Memory
  • Entity extraction

03 · Reason

It decides what to do — within your rules

Business rules, tool selection and confidence thresholds determine the next action. Anything uncertain is routed to a human with full context.

  • Business rules
  • Tool selection
  • Guardrails
  • Human approval

04 · Act

It completes the workflow, end to end

The agent doesn't draft a suggestion and stop. It sends the message, updates the record, routes the case and generates the report.

  • Send message
  • Update database
  • Route case
  • Generate report
  • Schedule meeting

05 · Outcomes

You get measurable results, with an audit trail

Every action is logged, every decision reviewable. You see hours returned, queues cleared and error rates falling — in numbers.

  • Audit logs
  • Dashboards
  • KPI reports

Not a mockup

Watch a real agent workflow run

This panel replays an actual agent workflow we shipped — reading an inbound request, retrieving context, deciding, and completing the action. On a demo call you'll see one run live against examples from your own business.

Operations Agent — live
Real workflow from a client deployment · see the case study

What we build

Four kinds of agents, one standard: production-grade

Every agent ships with retrieval, guardrails, observability and human handoff — not a chatbot wrapper.

Operations Automation

Invoices, approvals and scheduling run without manual touch.

  • Reads and posts invoices, flags exceptions for review
  • Routes approvals in minutes instead of days
  • Coordinates scheduling across calendars and tools
  • Keeps a complete audit trail automatically

Data & Analytics

Reports write themselves; anomalies surface within hours.

  • Generates and distributes recurring reports automatically
  • Detects anomalies and alerts the right owner
  • Maintains rolling forecasts from live data
  • Answers plain-English questions about your numbers

Case studies

Agents already doing the work

AimFox LLP — product interface

Operations Agent · Finance Operations

AimFox LLP

Problem. A three-person team spent weeks each month manually processing invoices and reconciling books.

Built. An autonomous bookkeeping agent that reads incoming invoices, extracts and validates line items, posts entries and flags exceptions for human review.

87%
of invoice-processing time removed
73%
reduction in processing cost
  • Python
  • Automation Scripts
  • LLM Extraction
LoveMySkool — product interface

Customer Intelligence Agent · EdTech

LoveMySkool

Problem. An education platform needed collaborative learning with tutoring support that could scale beyond human staff hours.

Built. A learning platform with an AI tutoring agent that personalises learning paths, answers course questions with retrieval over curriculum content, and escalates to teachers when confidence is low.

94%
student satisfaction in platform surveys
117%
user growth after AI tutor launch
  • Django
  • FastAPI
  • Vue.js
  • LangChain
  • OpenAI
  • FAISS
Pict-O-Preserve — product interface

AI Vision Product · Photography

Pict-O-Preserve

Problem. Photographers needed face search, album management and client gallery sharing across very large photo libraries.

Built. An AI photography platform with face recognition over 1M+ photos (AWS Rekognition), smart uploads, client galleries and payment integration.

99.9%
platform uptime in production
167%
user growth within 6 months of launch
  • Vue.js
  • Go
  • FastAPI
  • AWS Rekognition
  • OpenAI
  • Razorpay

How we deliver

Eight weeks to a live agent — engineered, not improvised

The eight-week timeline applies to single-workflow agents. Full custom AI products run 12–20 weeks. Every milestone is defined before any code is written.

  1. Wk 1–2

    Discovery & Workflow Mapping

    We sit inside your actual workflow — what arrives, who decides, what gets updated — and map where an agent earns its keep.

    • Workflow audit
    • Volume analysis
    • Permission boundaries
  2. Wk 2

    Agent Blueprint

    Scope, model selection, tool inventory and escalation rules defined before any code is written.

    • Model routing
    • Cost controls
    • Human handoff rules
  3. Wk 3–4

    Data & Integration Layer

    Connect sources, clean data, build the retrieval layer and the tool connections the agent will act through.

    • Retrieval quality
    • API permissions
    • Data residency
  4. Wk 5–6

    Agent Development

    Prompting, tool calling, memory and guardrails — built against real samples from your workflow.

    • Guardrails
    • Confidence thresholds
    • Failure recovery
  5. Wk 7

    Evaluation & Red Team

    Edge-case suites, hallucination checks and adversarial testing before anything touches production data.

    • Eval suites
    • Red-team testing
    • Security review
  6. Wk 8

    Deployment

    Live with monitoring dashboards, audit logs, human-handoff rules and your team trained on overrides.

    • Observability
    • Audit logs
    • Team training
  7. Ongoing

    Monitoring & Iteration

    Monthly model evaluations, performance tuning and new use cases as the agent proves itself.

    • Model evals
    • Continuous improvement
    • KPI reporting

Under the surface

The stack, organised by what it does

Only technologies we actually ship with — every item below appears in a delivered project.

SOURCESRETRIEVALAGENT COREACTIONSOBSERVABILITY · EVALS · AUDIT LOGS · HUMAN HANDOFFGUARDRAILS

Models

  • OpenAI
  • Whisper

Orchestration

  • LangChain
  • Tool calling
  • Function routing

Retrieval & Memory

  • FAISS
  • RAG pipelines
  • pgvector

Tools & Integrations

  • AWS Rekognition
  • Razorpay
  • Cashfree
  • Google Maps
  • EmailJS

Backend

  • Python
  • FastAPI
  • Django
  • Go
  • Node.js

Frontend & Mobile

  • React
  • Next.js
  • Vue.js
  • Flutter
  • Swift

Infrastructure

  • AWS
  • GCP
  • Docker
  • CI/CD
  • Firebase
  • Supabase

Observability & Evaluation

  • Monitoring dashboards
  • Audit logs
  • Model evals

Client voices

From the people whose workflows we automated

OnePrism's automation scripts transformed our bookkeeping operations completely. What used to take weeks of manual effort now happens automatically with 100% accuracy.

Aman Parmar

Co-founder, AimFox LLP

Read the engagement →
OnePrism delivered an exceptional collaborative learning platform. Their AI tutor integration and real-time features transformed how our students learn. 94% user satisfaction rate speaks for itself.

Chirag Doshi

CEO, LoveMySkool

Read the engagement →
OnePrism's technical expertise and systematic approach helped us modernize our infrastructure. Their scalable solutions significantly improved our operational efficiency.

Dhaval Doshi

CEO, AppleTech

Read the engagement →
  • Founder-led delivery
  • Production monitoring
  • Direct access to engineers
  • Defined milestones
  • Security-conscious architecture
  • Ongoing support

The team

AI-native engineers since 2020

The people who design, build and monitor the agents — and the same people you talk to on every call.

Portrait of Dhruvil Thaker

Dhruvil Thaker

CEO

Leads scoping, delivery and client relationships. 6+ years in technology strategy and business development; runs every founder-led demo call personally.

Portrait of Deepen Patel

Deepen Patel

CTO

Owns architecture, security and scalability across engagements. Guides frontend and backend teams across React/Vue, Node, Go and Python to ship production systems.

Portrait of Kiran Nambiar

Kiran Nambiar

Lead Software Engineer

Drives architecture, code quality and delivery across the stack. Combines backend and systems engineering with hands-on AI/ML work on production agents.

Portrait of Akshan Khanna

Akshan Khanna

Full Stack Software Engineer

Builds web applications end to end with React, Node.js and Python. Integrates LLMs and agent features into products from prototype to production.

Portrait of Mark Pinto

Mark Pinto

AI/ML & Backend Engineer

Backend engineer focused on AI/ML, Python and scalable web architecture. Builds retrieval pipelines and intelligent systems with FastAPI and Node.js.

Portrait of Keyur Patel

Keyur Patel

Mobile Developer

Ships Android and iOS apps with Swift, Kotlin and Flutter — native performance, clean UI and solid integrations.

Portrait of Dax Patel

Dax Patel

Frontend Developer & UI/UX Designer

Frontend engineer and designer specialising in Vue.js, React and responsive interface systems.

Talk directly with the founders

No sales team. Book directly with Dhruvil or Deepen to discuss your AI agent use case and get a free blueprint.

Schedule Founder Call
FAQ

Questions We Hear Every Week

Straight answers to the objections every smart buyer should raise.

Still have questions? Book a free 30-min call and we'll answer everything.

Which workflow should your AI agent take over first?

Book a founder-led session. We'll map the workflow, identify the highest-value automation opportunity and show you how an agent could handle it.

No commitment · Response within 24 hours · Free agent blueprint