Handle routine calls with a clear handoff
Capture intent, collect agreed details and update the CRM. Define when to transfer to a person and how to handle an unavailable system.
Caller Digital · voice and telephony workflows
Custom AI for business workflows
Less manual work.A clear plan to automate it.
Share one workflow or AI feature. Get an initial approach, budget range, timeline and key risks reviewed by a senior AI engineer.
Get a Free AI Build Plan
Free · four details · a senior engineer replies within one business day.
- 12years delivering
- 200engineers
- AIworkflow delivery
Shipped for teams including
What we build
AI capabilities grounded in delivery experience.
Start with the work your team repeats. The project references below show relevant delivery experience; your data, controls and integrations shape the scope.
Turn documents into checked data
Extract fields from statements, invoices and forms, validate them against your records, and route uncertain results for review.
DNS Associates · document-processing workflows
Prepare claims for a better-informed decision
Collect evidence, check required fields and route exceptions. Your policy and reviewers determine what can be approved.
JK Tyre · dealer warranty and claims workflows
Capture and verify field evidence
Bring site records and supporting evidence into a reviewable workflow with clear access and audit requirements.
KARAM Safety · site-verification workflows
Support credit and underwriting teams
Bring documents, policy checks and risk signals together. Keep lending decisions and approval authority with your team.
CSL Finance · credit and underwriting workflows
Connect automation to daily operations
Integrate with existing CRM, ERP and field processes. Include offline constraints and exception handling in the scope.
Kohler · field sales; JK Tyre · dealer workflows
How it ships
From a useful first scope to a measured rollout.
Scope, data readiness and evaluation determine the timeline. Agree each phase before proceeding.
- 01Assess
Choose a worthwhile first workflow
Start with the free initial plan. If useful, agree a paid discovery scope to check data, baseline effort, risk and build-versus-buy options.
- 02Build & test
Test on representative work
Define useful-task quality, review thresholds, latency and running cost. Prove the workflow with representative data before a wider release.
- 03Roll out
Give the team a system it can operate
Stage the release with monitoring, human fallback and clear owners. Agree documentation, training and ongoing support before handover.
What makes implementation work
Useful AI needs more than a model.
Fit the workflow you already run
Connect the data, permissions and systems around the task. Existing tools or deterministic code may solve part of it without AI.
Know what success costs
Compare current effort with build, model, hosting, review and support costs. Time released is capacity; it is not automatically cash saved.
Keep people in control
Agree approval boundaries, exception handling and a stop mechanism. Test failure cases as well as successful outputs.
Make the first decision reversible
Start with one measurable use case and a defined scope. Expand after evidence from your process supports it.
Start here
What is creating the most manual work?
A senior engineer replies by email within one business day with an initial approach, budget range and the main risks to check.
- ISO 27001
- SOC 2 Type II
Get a Free AI Build Plan
Four details. A senior engineer replies within one business day.
Meet the delivery team
Our delivery team works from Pegasus Tower, Sector 68, Noida. Ask to meet the engineering lead and discuss the team proposed for your project.
Before you write
Questions we get first.
What do I get before committing?
The initial plan is free and does not require a call. It is based on your brief and stated assumptions, not a binding quote or a complete technical design. If more detail is needed, we will ask focused questions by email. A senior engineer responds within one business day.
Do we need an AI strategy or clean data first?
No complete strategy is needed. Tell us the task and the systems involved. We identify missing data, permissions and preparation work before estimating an implementation.
Can you build an AI feature inside our product?
Yes. The scope can include LLM integration, retrieval on your data, evaluation, permissions and deployment. We first define what a useful output looks like and how to handle an incorrect one.
Will AI make decisions without a person?
Only within explicitly agreed rules and permissions. Sensitive decisions, uncertain outputs and exceptions can require human approval. These controls must be tested for your use case.
What does it cost?
The initial plan is free. Paid implementation starts at $5k. The plan gives an indicative range, assumptions and expected running-cost categories; a fixed quote may require further discovery.
What happens to our data and code?
Before implementation, we agree access permissions, hosting region, data retention and approved providers with your team. Request the relevant security documentation and scope under NDA. A delivery credential does not automatically certify your application. The agreement defines source access, IP assignment on the agreed payment terms, documentation and handover. Third-party software and open-source components retain their own licences. Build, hosting and ongoing support costs are listed separately.