Find the constraint
Map spend, workflow, users, and failure modes before committing to another platform. The output is a practical opportunity brief with a clear next move.
Cost control + AI transformation
Spend less. Move faster. Make AI useful.
Deployed Engineer · deployedengineer.comHands-on engineering for teams that need lower infrastructure costs and AI workflows that deliver measurable value.
How we work
Start with the constraint. Prove the economics. Change how the work moves.
Fix the economics
Right-size infrastructure, remove idle capacity, and route AI work to the simplest system that succeeds. Make cost visible before expanding scope.
Transform the workflow
Turn a promising AI experiment into dependable work with evaluation, observability, human review, and a team that knows how to improve it.
A good fit
When the problem is important, messy, and still taking shape.
01
You have a valuable workflow but need clarity on where AI helps and where it does not.
02
A prototype looks promising, but the team needs evaluation, reliability, and an operating plan.
03
You need someone who can work across product, engineering, users, and implementation details.
Industries and example engagements
Start with the workflow your team needs to improve.
These are hypothetical engagement designs—not clients we have served, anonymized case studies, or achieved results. Scope, data access, and domain requirements would be agreed before any work.
Hypothetical scenario
Logistics and distribution
Shipment updates arrive in emails and PDFs; dispatchers re-enter details and chase missing information.
Possible work: Extract shipment references, classify exceptions, and draft updates against the transport system. Start in read-only mode before adding approved writes.
Human review: Dispatchers approve customer communications and any change to routes or delivery commitments.
Hypothetical scenario
Manufacturing
Maintenance teams search scattered manuals and incident logs while investigating equipment problems.
Possible work: Build permission-aware retrieval with source citations and draft maintenance summaries linked to approved documentation.
Human review: Qualified staff verify recommendations; the assistant does not control equipment or authorize safety-critical actions.
Hypothetical scenario
Retail and ecommerce
Support agents repeatedly look up order status, product details, and return-policy exceptions.
Possible work: Connect approved order and catalog lookups, route tickets, and draft replies with policy citations.
Human review: Staff approve refunds, policy exceptions, and outbound messages during the pilot; personal data access stays scoped to the ticket.
Hypothetical scenario
Finance operations
Invoices need manual matching against purchase orders and receipts, with repeated follow-up for discrepancies.
Possible work: Extract invoice fields, apply deterministic matching rules, and draft exception summaries for the accounting queue.
Human review: Finance staff retain approval of payments and ledger changes. The workflow is not credit, investment, or eligibility decision-making.
Hypothetical scenario
Professional services
Teams assemble proposal drafts from previous work, but source material is inconsistent and sometimes confidential.
Possible work: Create an access-controlled knowledge workflow that drafts proposal sections only from approved material and flags missing evidence.
Human review: An account owner checks scope, pricing, confidentiality, and every experience claim before sharing a proposal.
Hypothetical scenario
B2B SaaS and software teams
Tickets mix product questions, bugs, and account-specific issues; engineers spend time reconstructing context.
Possible work: Classify tickets, retrieve version-specific documentation, and assemble reproducible issue briefs with evaluation and trace logging.
Human review: Staff approve customer replies and engineering escalations. Account changes and production deployments remain outside agent authority.
Start a conversation
Tell us what your team is trying to make work.
A short note with the workflow, current stage, and biggest unknown is enough to begin.
Start a conversation