Industry
SaaS and Technology
Extra engineers to ship the roadmap and get through customer security reviews. SaaS companies sell the same product to many customers, so every feature, outage and data question is multiplied across tenants. Much of the work sits in the plumbing around the headline feature: tenancy, billing, permissions, integrations, audit logs and the admin tools your support team lives in.
- B2B vertical SaaS
- Developer tools and APIs
- HR, finance and sales software
- Marketplaces and platforms
- IT services firms building their own products
The pressure points
What slows saas and technology teams down
- Roadmap outruns the team
- Sales has promised integrations, SSO and reporting while the core team is still fixing last quarter's bugs. Hiring takes months and new engineers need weeks to learn the codebase.
- Enterprise deals stall on paperwork
- Security questionnaires ask about encryption, access reviews, data residency and sub processors. Without evidence ready, a deal can sit in procurement for a whole quarter.
- AI features that nobody opens
- A chat box added in a hurry rarely helps. Useful AI sits inside a real workflow, uses the customer's own data with the right permissions and shows where an answer came from.
- Usage, billing and churn in different places
- Product analytics, the billing system and the CRM each hold part of the story, so nobody sees that a large account stopped logging in until the renewal call.
Systems this sector runs on
The software we build and connect
Each of these can be built new, extended from what you already use, or connected to your existing ERP and accounting.
- Recurring Billing and Subscription ManagementBilling and subscriptionsPlans, seats, usage metering, proration, GST invoices for Indian customers and Stripe or Razorpay for international cards, with dunning rules that treat reliable payers fairly.
- Customer Relationship ManagementCRMPipeline, trials and renewals linked to product usage, so account managers see which customers are healthy before they call.
- Customer and Partner Self-Service PortalsCustomer portalsSelf service for admins: user management, invoices, API keys, audit logs and support tickets in one place, which cuts support load.
- Business Intelligence and Management DashboardsBI and dashboardsMRR, net revenue retention, cohort retention and feature adoption from one warehouse that everyone reads from.
- Governance, Risk and Compliance ManagementGRC and complianceControl evidence, access reviews, vendor lists and policy sign offs kept current, so the next questionnaire takes a few days.
Built for this sector
Systems specific to saas and technology
The work that generic software does not cover, and where most of the value sits.
- Multi tenant foundations
- Tenant isolation at the database level, per tenant configuration, feature flags, rate limits and safe data migrations across hundreds of customers.
- Integration and webhook layer
- OAuth connectors, retries, idempotent webhooks and a public API with versioning, so partners can build on you without breaking each release.
- Internal admin and support console
- Impersonation with audit trail, plan overrides, refund tools and tenant health views that let support solve problems without asking engineering.
- MCP server for your product
- An MCP server that lets Claude and other assistants read and act in your app under the user's own permissions, which is fast becoming a buying question.
Where AI helps
AI use cases with a clear return
In product copilot
An assistant that answers questions over the customer's own data inside your app, respecting tenant and role permissions, with citations to records.
Customers get answers without exporting to spreadsheets, and the feature is used because it sits where the work happens.
Support ticket triage
An agent reads new tickets, tags product area and severity, links similar past tickets and drafts a reply for the agent to approve.
First responses go out sooner and engineers see fewer tickets that the docs already answer.
Churn early warning
A model on login frequency, seat usage, feature depth and ticket sentiment flags accounts drifting away, with the reasons listed.
Customer success teams spend their time on the accounts that are actually at risk.
Security questionnaire drafting
An agent answers questionnaires from your policy library and past answers, marking anything it is unsure of for a human.
Sales engineers review a ready draft, and answers stay consistent across deals.
Release notes and docs upkeep
Drafts changelog entries and doc updates from merged pull requests for a product manager to edit.
Documentation keeps pace with each release.
What your team would see
- MRR
- ₹1.84 Cr
- Net revenue retention
- 112%
- Logo churn (monthly)
- 1.6%
- Open P1 tickets
- 7
MRR, ₹ lakh
Feature adoption, % of active tenants
- Reports78
- Integrations54
- Workflows41
- AI assistant29
- Public API18
A sample of the kind of dashboard we build for this sector. Figures are illustrative.
Connects with
- Stripe and Razorpay
- HubSpot or Salesforce
- Zendesk, Freshdesk or Intercom
- Okta and Azure AD for SSO
- Slack and Microsoft Teams
- Segment or PostHog
- Tally or Zoho Books for GST invoicing
Rules we design for
- DPDP Act 2023
- GDPR
- SOC 2 readiness
- ISO/IEC 27001
- CERT-In Directions 2022
- EU AI Act
Typical stack
Read more
Work and writing for this sector
- Project · O2ECRM from lead to billing for an IT services firm40%Higher conversion from lead to dealRead the case study
- Project · TSEA practice management SaaS for CA firms, from idea to paying customersA two founder startup in Ahmedabad, one a practising chartered accountant, building software for small CA and tax practitioner firmsRead the case study
- Project · O2EHR workflow automation that cut employee onboarding from 7 days to 27 days to 2Onboarding time for a new joinerRead the case study
Before you start
SaaS and Technology: common questions
Can you work inside our existing codebase?
Yes. Most SaaS work is in an existing product. Engineers start with a short read of the code, the deploy pipeline and the test suite, then pick up tickets from your backlog under your review rules.
Do you help with SOC 2 or ISO 27001?
We build the technical controls and the evidence trail: access reviews, logging, backups, change management. The audit itself is done by an accredited auditor, which we do not replace.
Which AI model should our product use?
It depends on the task, data rules and cost per call. We usually prototype with two models on your real data and pick on quality and cost, keeping the design able to switch later.
Talk to us
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