Customer support
Ticket volume grows faster than the team.
Classifies and routes tickets, drafts replies from your help centre and order data, resolves the routine ones and escalates the rest with full context attached.
Repetitive work in support, finance, sales and operations quietly costs companies hundreds of thousands of dollars a year, and millions at scale. Polaris Forge Labs builds production AI agents that take that work off your team, with approvals, audit logs and cost caps from day one. And when off-the-shelf SaaS no longer fits, we build the platform your business owns.
Every hour a skilled person spends re-keying invoices, answering the same ticket or researching a lead is an hour you pay full price for. Agents do that work for cents. Here is what it adds up to at a 200-person company.
12 agents at $40K loaded cost. AI resolves half of tickets end-to-end and drafts the rest. 12 × $40K × 50%
8,000 invoices a month at ~$10 each to process by hand, ~$2 with extraction, matching and exception review. 96K × ($10 − $2)
2,000 contracts a year, 3 hours each at $150/hr. AI extracts terms and flags risk, cutting review time by 70%. 6K hrs × $150 × 70%
200 staff losing 2 hours a week hunting for answers at $50/hr. An assistant over your docs and systems halves it. 200 × 2 × 48 × $50 × 50%
4 sellers spending half their week on research and qualification at $70K. Plus the revenue from faster speed to lead. 4 × $70K × 50%
ILLUSTRATIVE ESTIMATES USING COMMON INDUSTRY COST BENCHMARKS. YOUR NUMBERS WILL DIFFER. WE BASELINE THEM WITH YOU BEFORE QUOTING.
Assumes 48 working weeks, a $30K fixed-fee build and $2K a month to run (models, hosting, monitoring). A rough guide, not a quote.
Get a real estimate for your workflowAgents that do real work inside your existing systems, with approvals, audit logs, evaluations and cost controls from day one.
The software your business runs on, built around how you actually operate. Replace a patchwork of SaaS subscriptions and spreadsheets with one platform you own.
Each agent is scoped to one workflow, measured against a baseline, and connected to the tools your team already uses. If it does not move the number we agreed, we have not finished.
Ticket volume grows faster than the team.
Classifies and routes tickets, drafts replies from your help centre and order data, resolves the routine ones and escalates the rest with full context attached.
Skilled people spend their week re-keying documents.
Extracts invoices and receipts, matches them to purchase orders and payments, reconciles accounts and surfaces only the exceptions a person needs to review.
Good leads go cold while they wait to be qualified.
Enriches inbound leads, scores them against your ideal customer profile, routes them to the right owner, drafts first outreach and keeps the CRM clean.
Every agreement gets read line by line, by expensive people.
Pulls key terms, dates and obligations from contracts, forms and filings, compares them to your standard positions and flags what needs a human eye.
The answer exists somewhere, but nobody can find it.
Answers staff questions from your docs, wikis, tickets and databases with citations, and takes simple actions like filing requests or pulling reports.
Product and customer data is incomplete, inconsistent and stale.
Cleans, enriches and standardises records at scale: product attributes, descriptions, categorisation, deduplication and quality checks before anything goes live.
Public, sourced examples of the same patterns we build. These companies are not Polaris clients. They show what the work is worth at scale, and the same economics apply to a 50-person team. Our own client case studies will appear here as engagements complete.
You do not need Amazon's scale. Run the same pattern on a 10-person support or finance team and the savings are often six figures a year. We will tell you honestly if yours are not.
Get a free opportunity brief →FIGURES ARE AS REPORTED BY EACH COMPANY OR THE LINKED PUBLICATION AT THE TIME. POLARIS FORGE LABS WAS NOT INVOLVED IN THESE PROJECTS. TRADEMARKS BELONG TO THEIR OWNERS.
Products we designed, built and grew ourselves, from first line of code to real users. Client work is anonymized.
You know exactly what you are buying, and what it should save you, before you commit to anything.
A one-page note on where AI and software could remove cost and friction in your operations, with a rough savings estimate.
We walk through the real workflow and agree what "better" means in numbers.
Deliverables, exclusions, timeline, fee and acceptance criteria, then a statement of work.
Weekly demos of working software, deployed in your environment and documented.
Workflow audit, a working prototype of the riskiest part and a costed build plan with projected savings.
Design, build and deploy one agent or platform to agreed acceptance criteria.
Monitoring, evals, fixes and small improvements. Cancel with 30 days' notice.
Polaris Forge Labs LLC is a US-registered studio serving companies in the US, UK, Europe, the Middle East, Australia and Asia. We are deliberately small: senior people who have led platform products at enterprise scale and still write the code.
PKIt depends on volume and cost per task. Use the calculator above for a rough figure; in the discovery call we baseline your real numbers and only propose a build if the payback is clear.
We deploy into your cloud accounts. Model providers and data-retention settings are agreed in the statement of work.
You do, on final payment. We keep only our pre-existing tools, which you get a licence to use.
Risky actions go to a person for approval, every action is logged, and we agree accuracy thresholds before launch.
We price the change in writing within three business days. Nothing changes until you sign it.
We work from India Standard Time (UTC+5:30): full overlap with Asia-Pacific and the Gulf, mornings for the UK and Europe, and early-morning or late-evening calls for the US, with async updates in between.
A 30-minute call. You leave with an honest view of feasibility, rough cost, expected savings and the metric we would move.