Engineers who ship from inside your team.
Consultants advise. Vendors deliver to spec. Forward deployed engineers solve.
A forward deployed engineer joins your team the way a new senior hire would in your repos, your meetings, your Slack. The difference: they arrive next week, they've done this before at other companies, and they leave behind a working system and a team that knows how to run it.
It's how we close the gap where most AI and automation projects die between a promising demo and software your people actually use every day.
The difference in practice
Writes production code in your repository, reviewed by your team
Sits with the people who feel the problem ops, finance, field teams
Ships a working slice in the first 30 days, then compounds from there
Trains your team as they build the knowledge stays when they go
Enterprise AI doesn't have a technology problem. It has a deployment problem.
%
of enterprise GenAI pilots deliver no measurable P&L return
%
of companies abandoned most of their AI initiatives in 2025
higher success rate when companies build with an embedded external partner instead of going it alone
Back office
is where MIT found the largest measurable AI returns finance and operations, exactly where our engineers deploy
These findings are why the forward deployed model pioneered by Palantir, and adopted in 2026 by OpenAI, Anthropic and Google for their own enterprise deployments has become the way serious AI gets shipped. The labs deploy FDEs into the Fortune 500. Persivate brings the same model to the mid-market.
The demo worked. The workflow did not.
The pilot works until real users, exceptions, and legacy systems expose gaps between the code and workflow.
The proof of concept never becomes a production process
Teams describe the same workflow differently
A technically correct build is not adopted by users
An engineer joins your team & works directly with those facing the problem.
Forward-deployed engineers work with your teams to build, validate and transfer knowledge.
Inside your systems and delivery rhythm
Real workflows before assumed requirements
Knowledge shared while building
When one engineer beats a whole project team.
Four situations we get called into most often.
Your AI pilot is stuck at proof-of-concept
Turn demos into production with real data, workflows and daily use
Your systems don't talk to each other
Connect systems and automate workflows to reduce manual work and errors
Finance & ops runs on manual work
Automate key processes with AI agents while keeping controls intact
You need depth your team doesn't have yet
Add senior expertise from day one while your team builds capability alongside them
WHERE WE HELP
Solutions shaped around the work.
Start with the need that matters most. We bring the right combination of expertise, engineering and operating support to move it forward.
AI & GenAI
Move a practical use case from experiment to an application with real data, evaluation and oversight
Intelligent Automation
Simplify repetitive work while preserving controls, approvals and exception paths
Data & Integration
Connect fragmented systems, improve data quality and make information useful in the workflow
Product Engineering
Build and refine features with direct feedback from users and the product team
Modernization & Cloud
Untangle dependencies and improve applications or environments in manageable increments
Transformation Execution
Turn a strategic priority into a working first release that the organization can learn from
From first call to running system
The same arc on every engagement only the problem changes.
The Best Specifications Emerge Through the Work
Start with a focused use case, test assumptions early and involve your team to drive adoption from day one.
Clear steps. Shared decisions. Visible progress.
We begin with your problem and keep business outcomes, engineering quality and adoption connected as the engagement develops.
Immerse & Understand
Join the team, map users and workflows, examine the code and data, and agree on the outcome
Prototype & Validate
Test the riskiest assumptions with a small, useful slice of the solution
Engineer & Deploy
Build in your environment with reviews, controls, testing and operational needs in view
Transfer & Extend
Document decisions, work alongside your team and decide together what should be improved next
You Bring
The workflow, users, systems and access needed to see the problem clearly
Persivate Brings
An embedded engineer who discovers, builds and validates in context
Together We Create
A useful solution and knowledge your team can carry forward
VALUE WE CREATE
What changes because we worked together.
Progress is measured by what becomes possible for your people, systems and business not by the volume of activity delivered.
Faster Learning
Find the true constraint before scaling the solution
Working Adoption
Build around real data, users and exception paths
Capability Retained
Help your team understand, own and extend what is built
The math is different in your market. The answer is the same.
We serve a deliberately small client group across four markets enough focus to know each one's hiring math, regulation and pace.
9-13 weeks to hire. 1 week to deploy
Hiring a senior engineer takes 9–13 weeks and costs ~$40K in lost output. Persivate delivers senior talent in as little as one week at a fraction of the $185–250K hiring cost
Senior depth without the six-figure payroll
Skip hiring delays and high costs. Access senior AI, data & platform experts with UK-hour overlap and flexible scaling, without permanent payroll commitments
Your systems, your data, your working day
Our engineers work within your systems, access controls, and tools. They overlap your hours, join standups, and tackle data and integration challenges from day one
Built compliant, because it has to be
Europe faces a 20M ICT talent gap by 2030 as AI regulations take effect. Our engineers build GDPR-first with documentation, oversight, and audit trails for compliance from day one
Built on the bench behind it
< 30 Days
From kickoff to a working system in production
20+
Technologies across our engineering bench
60%
Typical cost saving vs. building the same capacity in-house
4 Markets
United States, Canada, United Kingdom & Europe
Put an engineer inside your team next week.
Tell us the problem in one call. We'll tell you honestly whether it needs one forward deployed engineer, a team that owns the outcome or nothing from us at all.
Other ways we can help
Build & Transform
Advisory & Transformation
Access Expertise
Technology
Talent
Build & Transform
CoE & Capability Building
Talk to an Engineer, Not
a Salesperson
Tell us what you're trying to build, migrate, automate, or keep running. You'll get a 30-minute call with someone who has shipped systems like yours, and an honest answer about fit.
Our work has thrived across borders.
Chat with Our Team
22 A, Takli Seem, Nagpur 440036
8 The Green STE A, Dover, Delaware, USA 19901
Get in Touch
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