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Splashgain

The problem

Most AI initiatives die between the demo and the deployment

The demo is the easy half. What kills a project is the part nobody scopes — the system of record, the guardrails, and who gets paged when it stops.

What usually happens

  • A slick proof-of-concept that never touches a real system of record
  • Consultants deliver a strategy deck, then leave before anything ships
  • No owner for uptime — the agent silently stops and nobody notices for weeks
  • Data leaves the building; legal and compliance block go-live
  • Per-seat AI licences that scale cost faster than value

What we do instead

  • Every engagement ends with a container running in production, not a PDF
  • We operate what we build — health-monitored, logged, on-call
  • Deployed on your cloud or ours; your data never trains a public model
  • Compliance-first architecture — retention, audit trail and access control from day one
  • Flat platform fee, unlimited internal users

Ready to see it in action?

Or call +91 95525 86428

An AI agent working across a chat thread, a user profile and a settings panel at once

What we actually deploy

Agents that answer, decide and hand back — not chatbots that deflect

Each agent owns a task end to end: it reads the request, does the work against your systems, and escalates the cases it should not decide alone. We run every one of these in our own operations before we sell it.

  • Connected to your systems, not a sandbox
  • Escalation paths defined per agent
  • Deployed on your infrastructure or ours

Ready to scope an agent?

Pick one department, six weeks — we deploy one agent against one metric you care about.

Or call +91 95525 86428

Why us

We run our own AI agent fleet in production — every day

35+

AI agents running in our own production

2
Cloud regions, monitored 24×7
500+
Customers worldwide
17+
Countries served

AI employees

What you are actually hiring

An agent pack fills a role, not a tool slot. Here is the job, the shift, and the point where each one hands you the phone. Every role has a page of its own.

Always on

AI Employee for Customer Support

Answers the tickets your team keeps answering, and closes them.

  • Reads the ticket, finds the answer in your own documentation, replies in the customer’s language
  • Resolves the repeat questions end to end — status, invoice, password, policy
  • Files the rest with a summary and a drafted reply, so a human starts halfway through

Escalates the moment it is unsure or out of policy. It never guesses an answer.

Nightly & per lead

AI Employee for Sales & Marketing

Does the research, the follow-up and the writing your reps never get to.

  • Briefs the rep before the call — the company, the people, the recent news, the likely objection
  • Chases the follow-up that goes cold on day four, and stops the moment someone replies
  • Assembles the quotation, proposal or RFP response from the deal record

It drafts, your rep sends. Nothing reaches a customer without a name behind it.

Every call, 24×7

AI Employee for Inbound Calls

Answers your business line, qualifies the caller and books the meeting.

  • Picks up on the first ring — after hours, at weekends, fifty calls at once
  • Asks the questions your team asks — budget, timeline, decision-maker, fit
  • Books the meeting in the right calendar and writes the call up in your CRM

Warm-transfers to a person the moment the caller is ready, or simply asks for one.

Every merge, nightly

AI Employee for Code Review

Reviews every merge, then chases the fix until it lands.

  • Reviews each pull request against your own standards, before a reviewer spends an hour on it
  • Reviews the stored procedures and tables that changed — the layer no pull request shows
  • Tracks every defect to closure, escalating on a fixed ladder rather than hoping

It never merges, never pushes and never rewrites your code. The commit is yours.

Weekly, monthly scan

AI Employee for Digital Marketing

Writes, publishes and links your content — and gets you named by AI answers.

  • Drafts and publishes into the CMS you already run, with meta, slug and internal links set
  • Tracks whether AI answer engines name you or a competitor, across the sub-queries behind the question
  • Reads Search Console and tells you which drop is seasonal and which is real

Everything publishes as a draft. No word goes live without your approval.

Always on

AI Employee for Email Management

Owns the shared inbox nobody owns — sorts it, routes it, drafts the replies.

  • Classifies and routes every incoming mail by what it wants, with the sender’s history attached
  • Drafts the reply from your own past answers, in the language the sender wrote in
  • Enforces send windows, caps, suppression and consent before anything leaves the building

It drafts, you send. Auto-reply stays off until you switch it on for a queue.

Per meeting, weekly

AI Employee for Market Research

Briefs your team before every call, and watches the market between them.

  • Builds an account brief from the public record, your own email history and your CRM
  • Watches competitors for pricing, launches and positioning changes, and reports what changed
  • Builds prospect lists that name the signal qualifying each organisation on them

Every claim carries its source. It says “not found” rather than filling a gap.

Daily to monthly

AI Employee for MIS Reports

Builds the reports nobody has time for, and says whether the work got done.

  • Consolidates one figure across accounting, CRM and your product database, and shows the working
  • Writes the computed number back into the system of record, so two systems stop disagreeing
  • Reports what each scheduled job actually produced — not that it exited without an error

Read-only by default. It writes only to fields you name, and every write is logged.

Per request, monthly

AI Employee for HR

Prepares the letters, ranks the applicants, runs the first interview.

  • Generates offer, relieving, revision and promotion letters on your letterhead, CTC computed
  • Ranks every applicant against the job description, then interviews the shortlist on video and scores it
  • Answers leave, payroll and policy questions from your own handbook, quoting the clause

No letter is issued and no candidate is rejected without a person.

Daily, plus filings

AI Employee for Finance & Accounts

Chases what is owed, matches what was billed, prepares what must be filed.

  • Drafts overdue-invoice reminders in your tone and escalates on the ladder you set
  • Matches invoices to won deals and writes invoiced and pending totals to the customer record
  • Assembles GST and TDS return data on the calendar and names the inputs it could not find

Nothing is sent, credited or filed without a person. Where a match is doubtful it asks.

Continuous, 24×7

AI Employee for IT & Database Operations

Watches the fleet, proves the jobs ran, and fixes the database first.

  • Reports what each scheduled job produced, not merely that the server answered a ping
  • Hunts the slow queries and missing indexes before users start feeling them
  • Locks the database down by default and keeps an audit trail of every change

It acts alone only where the action is reversible or logged. Everything else waits.

The eight packs below cut the same work the other way — by department, for when you already know which team is drowning.

How we build

Agents that act, inside guardrails you set

Everything we sell, we run ourselves first

Our sales team is prospected by our own agents. Our exam data is purged by our own retention agents. Our servers are watched by our own health monitor. You get software that has already survived contact with reality.

Your context, not the internet’s

Agents are grounded in your data, your policies and your tone. Generic models give generic answers — which is why most pilots stall before they reach production.

Auditable by design

Every action logged, every decision traceable. Built for regulators and boards, not just for demos.

Draft-and-approve by default

Anything touching money, contracts or a customer promise is prepared by the agent and approved by your person. Where an agent does act alone — deleting expired data, rebuilding an index — the action is reversible or logged.

The portfolio

Eight departments. Eight agent packs.

Packs are modular. Start with one, prove the number, expand. Nothing here requires a platform migration.

Sales

Revenue Pack

Your reps stop doing research, data entry and document assembly — and get back roughly a day a week to actually sell.

  • Prospect & enrich
  • Lead scoring
  • Cold outreach
  • Proposal & RFP
  • Quotation & SOW
  • Deal rescue
  • Meeting debrief
  • Tender war room

Marketing

Growth Pack

The output of a full content and SEO team at a fraction of the headcount — and visibility in AI search before your competitors realise it matters.

  • AI search visibility
  • SEO & ranking
  • Conversion (CRO)
  • Content engine
  • Competitor watch
  • Executive digest

Compliance

Retention Guardian

India’s DPDP Act makes “we kept it forever” a liability. This turns your retention policy from a document nobody follows into infrastructure that enforces itself — and cuts storage cost while doing it.

  • Policy-driven deletion
  • Tiered cold archive
  • Audit trail
  • Database log purge

IT & DevOps

Most monitoring tells you a server is up. Ours tells you whether the work actually got done — and fixes the database before users feel it.

  • Fleet activity monitor
  • Database optimizer
  • Index maintenance
  • Database firewall
  • Uptime & incident
  • Read-only query agent

Knowledge

Company Brain

A private retrieval engine over your documents, tickets, contracts and wikis. When someone resigns, their knowledge stays — and every answer cites its source document.

  • Private document retrieval
  • Cited answers
  • Self-hosted vector store
  • Full query audit log

Finance

Finance Pack

Shortens the cash cycle and stops silent leakage. The vendor spend audit alone usually pays for the pack in month one.

  • Receivables & collections
  • Pricing & discount control
  • Vendor & SaaS spend audit
  • GST & filing calendar

Engineering

Engineering Pack

Raises code quality without adding reviewers. Every pull request is reviewed before a human spends time on it, and production errors are clustered rather than dumped.

  • Automated code review
  • Exception & log triage
  • Self-healing bug loop
  • Dependency & CVE watch

Education & assessment

We operate assessment, admissions and document-verification platforms ourselves. These agents are built on domain knowledge no horizontal consultancy has.

  • Admission counselling
  • Document verification
  • Proctoring review
  • Question paper generation
  • Evaluation QA
  • Accreditation assistant

Engagement

From first conversation to running agent in six weeks

The same five stages every time, whichever pack you start with. You approve the shortlist before anything gets built.

  1. Discover

    Two workshops to map where time and money actually leak. We name the metric we intend to move.

  2. Prioritise

    Score candidate agents on value against effort. You approve a shortlist of two or three — never twenty.

  3. Build

    Two-week sprints against your real data in a sandbox. You see working software, not status reports.

  4. Deploy

    Into production with monitoring, logging, rollback and a named owner. Team training included.

  5. Operate

    We run and tune it under SLA and report the metric monthly — or we hand it over. Your choice.

Commercials

Three ways to engage

Readiness Sprint

Fixed fee · 2 weeks · credited against deployment

  • Process and data discovery
  • Prioritised agent roadmap
  • ROI model per agent
  • One working prototype on your data
  • Executive readout

Pack Deployment

Build fee plus monthly operate fee · priced on application

  • Choose any pack from the portfolio
  • Configured to your systems and policies
  • Deployed on your cloud or ours
  • Monitoring, logging and SLA included
  • Unlimited internal users — no per-seat cost
  • Quarterly tuning and expansion

Agent Partner

Annual retainer · dedicated capacity · priced on application

  • A standing agent engineering team
  • New agents built on demand
  • Full fleet operated under SLA
  • Quarterly business review with the board
  • Source code and IP transferred to you

Priced against a metric, not a timesheet. Every engagement is priced against a named business metric. If the metric doesn’t move, we fix it at our cost.

Questions

What buyers ask us first

How is this different from an AI pilot?

Every engagement ends with a container running in your production environment, monitored and owned — not with a strategy deck. We operate what we build, so there is always someone accountable for uptime rather than an agent that silently stops and is noticed weeks later.

How do you know a scheduled job actually did something last night?

Most monitoring reports that a server is up. Our Fleet Activity Monitor reports per-container proof of work — messages sent, files migrated, records purged, errors thrown — which catches the job that runs successfully while doing nothing at all. A backup that backs up an empty folder still exits zero.

We are already doing AI internally. What would you add?

The model is rarely the hard part. Monitoring, retries, audit logs, access control and someone on call when it breaks at 2am are what separate a pilot from production. If those are already in place and running, you may not need us — if they are not, that gap is the work.

Our data cannot leave our premises. Is that a problem?

That is our default rather than an exception. Agents deploy as standard containers on your infrastructure, your data never trains a public model, and the audit log is yours. Company Brain in particular is designed to be self-hosted with your own vector store and access controls.

What happens when an agent gets it wrong?

Every agent is draft-and-approve by default on anything touching money, contracts or customer-facing communication — the agent prepares it and your person approves it. Where an agent does act alone, such as deleting expired data or rebuilding an index, the action is either reversible or logged, and we show you the log.

How long before something is actually running?

Six weeks from first conversation to one agent live in production. Most engagements start with a two-week Agent Readiness Sprint, which ends with a prioritised roadmap, an ROI model per agent and one working prototype built on your own data.

Do we get locked in?

No. Agents run as standard containers on your infrastructure. If you end the engagement they keep running, and on the Agent Partner engagement the source code and IP transfer to you.

Free presentation · 13 slides · PDF

Everything on this page, in a deck you can forward

The presentation we walk boards and CXOs through — the packs, the guardrails, the six-week path to production and the three commercial models.

  • The eleven AI employees, and the job each one holds
  • Eight department packs, and the agents inside them
  • Six weeks from first conversation to one agent in production
  • Three commercial models, and what each includes
Download the deck

No cost. Work email and organisation only.

Pick one department. Give us six weeks.

We’ll deploy one agent against one metric you already care about. If it works, we scale it across the function.

Book an Agent Readiness Sprint

Or call +91 95525 86428

Book a demo

See it running on your process