AI Agent Development: Is your team still reading every email, document and ticket by hand before anything moves?
We build AI agents that take repetitive operations work off your team: they read, match and draft inside the systems you already use, from your inbox and helpdesk to your ERP. Agents draft and prepare; a person on your team approves everything that goes out.
Support and operations teams answer the same questions every day, looking each answer up across several tools.
02
Documents typed in again
Quotes, invoices and forms arrive as PDFs and scans, and someone re-keys them into your systems.
03
Records matched line by line
Payments, approvals and statements are matched by hand, by the one person who knows where the differences usually hide.
What we build
What our agents do
Triage and draft replies
Read each email or ticket, name its intent with a confidence and a reason, look up the answer in your own data and leave a draft for your team.
Read documents, including scans
Turn vendor bids, bank statements, bills and signed approvals into structured data, with totals checked against the source.
Match and reconcile
Link payments to their bills and approvals to their items, with the reasoning shown, and stop for a person when anything is unclear.
Answer questions about your own data
Let staff ask questions of their own records in plain English, instead of building another report.
Approval and an audit trail, built in
Drafts wait for one-click approval, and every run records what was done, why and what is still open.
Measured every day
Accuracy is checked daily against your own examples, and every miss becomes a test case.
You stay in control
Agents draft and prepare. A person on your team approves.
Nothing goes out unapproved
Agents create drafts. A person on your team approves every email, message, filing and payment record. By default, nothing is sent, filed or paid by an agent alone.
Block, don't guess
When records disagree, the agent stops and asks a person. A silent guess is treated as a defect.
A record of every run
What was done, why, and what is still open. Each decision shows its confidence and reasoning.
Inside the tools you already use
No rip-and-replace. The agents work inside your existing inbox and systems, and your team keeps the tools it knows.
Code does the arithmetic
Fetching, totals and filing are done by ordinary code. The model reads, matches and drafts.
Rules we live with ourselves
We run our own finance and admin on agents, under these same rules.
Proof
Proof
Our customer-support agents
Support agents that draft the answer before a person opens the ticket
Fleek runs a B2B marketplace for second-hand wholesale clothing. Its support team was answering the same "where is my order?" questions by hand, across five tools.
We built agents that read each ticket, name its intent, look up the order and leave a ready-to-send reply inside Zendesk, the helpdesk Fleek already used. The agents never reply to a customer directly: every answer is a draft that a person approves.
Each kind of ticket has its own playbook, so the support team can change how a category is handled without waiting for a developer. Our engineer ran a hands-on AI master class for the team, so they could shape the playbooks themselves.
“The responses have become a lot more reliable … one click send. That's amazing.”
Fleek customer-experience team, daily sync, October 2025
Source: Fleek–Wisflux working sessions, October–November 2025
~10 days
from the first ideation call to agents drafting replies in the live queue
84–85%
of "where is my order" tickets classified correctly, checked against 50–100 tickets hand-labeled by Fleek's team
Our procurement agents
Agents that read vendor bids and signed approvals, on the platform we built for a hospitality procurement firm
GS Associates sources FF&E and OS&E (furniture, fixtures, operating supplies and equipment) for four- and five-star hotels, resorts and restaurants. We built and run the platform its business runs on, which carries the whole purchasing cycle: specifications, vendor bids, purchase orders, invoices and payments, expediting and milestones.
Since 2024 the platform reads vendor bid PDFs, including scans, and turns them into structured quotes. In 2026 we added agents on the same data: one sorts mail, drafts replies and builds a daily digest of follow-ups; another reads signed approvals and matches them to the right items, with its reasoning shown. Unclear cases stop for a coordinator, and every approval is recorded.
Standard items went first. Custom orders stay with a person until the user is fully confident.
“This is amazing. … I'm quite, quite blown away by this.”
Zac Sarff, COO, GS Associates, on the first approval-agent demo, May 2026
Source: gsa-inc.com; GS Associates–Wisflux correspondence and working sessions, 2019–2026
Since 2018
a continuous partnership; the Wisflux team has grown with the client
290,000+
documents, with 78,000+ items and 79,000+ quotes, tracked in the platform (published by GS Associates)
5
companies introduced to Wisflux by GS Associates' COO
—ISO/IEC 27001:2022 and ISO 9001:2015, certified by TNV System Certification, valid to October 2028.
—GDPR-ready practices.
—Read-only access to your data first; write access only when it is earned.
—Background checks for engineers, secrets in a vault, anonymized data outside production, and on-premises deployment where required.
—You own everything: code in your repository from the first commit, running in your cloud or on your premises.
How we start
One workflow first. Real data, drafts first.
01
Workflow review call
Our founder, Chandraprakash Sharma, walks through one workflow with you and says plainly whether an agent can take it on, and if not, says that too. There is no charge for this call.
02
Agent pilot
One workflow, on your real data, drafts first, with success criteria agreed before we start. Your team compares the drafts with its own answers.
03
Roll out, one category at a time
We switch on the standard cases first and train the people who will use it. Hard cases stay with your team until it is confident, and every draft is still approved before it goes out.
We stay until it is used: a project ends when your team uses the system daily, not when it goes live. Every engagement is quoted to its scope.
You see the work as it happens: daily progress notes, a demo every sprint, and a work report behind every invoice showing where each hour went.
Other ways to work with us: a fixed-scope build with milestones, a dedicated team of named engineers, or run and support for systems we built or inherited.
Questions
AI Agent Development: common questions
Will it work with our systems?+
The agents work inside the tools you already use: your inbox, helpdesk, ERP and shared drives. Nothing is replaced. We confirm the fit with your systems in a workflow review, before anything is built.
We've already tried ChatGPT or Claude for this. What do you add?+
Many teams now try. The demo is easy; production is not: connecting your systems, measuring accuracy, keeping a person in the loop, handling the unusual cases and keeping it running. We build with the same AI tools, and we can teach your team as we go.
Which AI models do you use?+
Whichever fits the task: OpenAI, Anthropic, Google or open-weight models, with no single-vendor lock-in. We benchmark models on cost and quality for each task and show you the expected running cost up front.
Who sees our data?+
We are ISO 27001 certified. We start with read-only access, use read replicas instead of production credentials, keep secrets in a vault, and can keep sensitive data on private, open-weight models.
What if the agent gets it wrong?+
Agents start by drafting only, and a person approves everything that goes out. We measure accuracy daily against your own examples, and every miss becomes a test case. Unclear cases stop and ask. Later, if you choose, a category that has proved itself can run without approval; that is your decision, never a default.
Are we locked in if it doesn't work out?+
No. You own everything from the first commit: the code lives in your repository and runs in your cloud or on your premises. If we part ways, you keep everything.
Start with one workflow.
Tell us which email, document or ticket your team handles most by hand. Tell us about one workflow. We'll walk through it with you and say plainly whether an agent can take it on — and if it can't, we'll say that too.
