Unitforce Technologies
Consulting Pvt Ltd
Agents that do the work, not just describe it — wired into the systems your team already uses.
Agents that plan, reason and act across your workflows — sourcing candidates, answering customers, triaging requests — wired into the platforms your team already uses, with every step logged and auditable.
A chatbot answers a question. An agent decides what to do about it: it breaks a goal into steps, chooses a tool for each step, calls it, reads the result, and keeps going until the task is finished or it hits a limit you set. The difference matters commercially, because only the second one removes work from somebody's day.
That autonomy is also the risk, which is why everything we build logs each step — the plan, the tool called, the arguments, the result, the decision that followed. When a colleague asks why the agent did something, the answer is a record rather than a guess.
An agent is only as useful as the systems it can reach. We integrate against the APIs you already run — ATS and CRM, ticketing, ERP, payroll, internal databases and document stores — so the agent works inside your stack instead of asking people to copy data into a new one.
Long-running work is handled as long-running work: tasks that span hours or days keep their own memory and resume where they left off, rather than starting from an empty context every time someone re-opens a window.
Every agent ships with limits that are written down before it runs: which tools it may call, which actions need a human to approve, what it must refuse, and what happens when it is unsure. Escalation to a person is a designed path, not a failure mode.
We evaluate agents the way we evaluate models — against a fixed set of real tasks with known-good outcomes — so a prompt change that quietly makes things worse shows up before your users find it.
A chatbot returns an answer. An agent plans a sequence of steps, calls tools and APIs to carry them out, checks the results and continues until the task is done. Agents change the state of your systems; chatbots describe it.
Yes — that is the normal case. We integrate through the APIs of the platforms you already run, such as your ATS, CRM, ticketing, ERP or internal databases, so the agent operates inside your current stack rather than replacing it.
Through guardrails defined before it runs: an explicit list of tools it may use, actions that require human approval, and rules for what it must refuse or escalate. Every step it takes is logged, so any action can be traced after the fact.
We run it against a fixed evaluation set of real tasks with known outcomes, and re-run that set on every change. In production the same per-step logs feed monitoring, so accuracy and failure rates are measured rather than assumed.
Generative AI that answers from your facts, cites where they came from, and says nothing when it has no evidence.
An assistant inside the tool people already have open, grounded in what your company actually knows.
Whole processes automated end to end, with the exceptions routed to people instead of hidden from them.
Fraud flagged as it happens and credit scored at the point of decision — with reasons an auditor will accept.
The unglamorous half of AI — versioning, serving, monitoring and rollback — owned by us so your team doesn't carry it.