Built around your business processesagents that actually get work done
Not a generic chatbot, but an agent connected to your business systems and knowledge assets that can complete concrete work on its own. From requirement scoping, knowledge base building and tool integration to launch and operations, we provide end-to-end custom development and continuous iteration.
A self-check: is this happening in your team right now
Tick the problems you are living with. We use them to judge which scenarios are worth doing first — you do not need to know what you want yet.
AI agent application scenarios most enterprises start with
Built around the business scenario, not fitted to a template. These are the directions enterprises implement most today; anything not listed can be developed around your actual processes.
Enterprise knowledge base agent
Turns scattered policies, product manuals and technical experience into an asset people can ask questions of. Staff get answers with sources, and new hires no longer rely on “asking the old hands”.
Ask about this scenarioData Q&A assistant
Connected to databases and existing reports. Business users ask in plain language and get the result with the query logic stated, so routine data requests no longer wait in a queue.
Ask about this scenarioResearch and report generation
Public and internal data are gathered and drafted into industry research, competitor analysis and management briefs in your templates, with people owning the review and the judgement.
Ask about this scenarioCustomer service agent
Omnichannel access, intent understanding, and calls into business systems to look things up and complete requests. Human agents take only complex cases.
Ask about this scenarioContract and document review
Flags risk clauses, missing items and inconsistencies against your review points, and outputs suggested edits and a risk level for legal review and confirmation.
Ask about this scenarioMarketing content generation
Produces copy, asset scripts and campaign variants in your brand tone, published after human sign-off, sustaining content supply across platforms.
Ask about this scenarioOutbound calling and digital human
Voice and avatar agents for inbound and outbound calls, store reception and training broadcasts, handling standardised external interactions.
Ask about this scenarioAI bid and tender documents
Searches your qualifications, past performance and technical material against the tender document, drafts a first version for people to review, and leaves the time for the differentiating content.
Ask about this scenarioCannot find your scenario? Agents can do far more than this. Describe the process to us and we will assess the feasibility.
Describe my scenario and get an assessmentThe four core capabilities behind custom agent development
Orchestration, knowledge base, tool calling, permissions and audit are built in-house; the model layer is selected per scenario. This is what decides whether an agent can enter the business process or remains a question-and-answer box.
Multi-model access and routing
The right model for each scenario, with support for domestic models and xinchuang (domestic IT) environments, no single-vendor lock-in, and flexible switching as cost and results change.
Knowledge base and retrieval augmentation
Document parsing, chunking, vector retrieval and permission isolation, with sources attached and traceable, keeping answers inside your own material.
Tool calling and business transactions
Queries, orders and approvals completed through APIs — not just Q&A, but work actually finished on your behalf.
Multi-agent orchestration
Complex tasks broken down across collaborating agents, with conditional branches, parallel processing and human-in-the-loop steps.
Which of your existing systems can we connect to
These are the common integration targets. Whether a specific system can be connected depends on its version and how open its interfaces are; we confirm each one during the requirement diagnostic and state the integration method and boundaries in the plan.
Want to know whether your systems can connect? Send us the integration list and we will confirm each item during the requirement diagnostic and give a conclusion.
Book an integration feasibility assessmentA six-step delivery process, with the input from both sides written down
The worst thing in a project is a black box. We set out, for every stage, what we deliver and what you need to provide. The durations below are typical; actual duration and effort are confirmed in writing during the solution stage.
These durations are internal estimates assuming timely cooperation on your side and a clearly defined scope; complex system integration or scope changes are assessed separately.
Requirement diagnostic
Map the business processes, available data and expected goals; produce a requirement list and a feasibility assessment. Scenarios that are not a fit are stated directly.
Solution design and quote
Provide the solution document, interaction prototype and written quote, making scope, duration and acceptance criteria explicit.
Knowledge and data preparation
Data inventory and usability assessment: what can be used directly, what needs cleaning, what needs supplementing, with governance recommendations.
Development and integration
Knowledge base construction, prompt and workflow orchestration, interface integration, internal testing and a grey release. Where complex multi-system integration or mid-project scope changes are involved, duration is assessed separately.
Acceptance and launch
Accept item by item against the criteria agreed together, then deploy to production and train users.
Operations and iteration
Performance monitoring, knowledge updates and feature iteration, with periodic performance reports and optimisation recommendations.
Still evaluating? Start with a small-scenario proof of concept (POC)
Pick one high-frequency, clearly bounded scenario. It usually takes 2–3 weeks, produces an evaluation of the results and a recommendation on whether to expand, and then you decide the next step.
Deliverables: what we deliver, and what counts as accepted
There is one principle: deliverables and acceptance criteria are agreed and written into the contract before work starts, not negotiated during development.
Deliverables
At the end of the project you receive the complete result and can operate or migrate it yourself.
- Application and source code — The agent application, orchestration configuration and the files needed to deploy
- Data and knowledge assets — The knowledge base data and configuration built up during the project
- Documentation and handover — Solution and interface documents, operations instructions, training and acceptance material
The specific deliverable list, IP ownership and migration method are agreed in the contract; everything can be exported, and we do not deliver in a way that locks you in.
Acceptance criteria
Criteria are set before work starts, not negotiated just before launch.
Hallucination in large models is common across the industry, and we do not promise 100% accuracy — so acceptance is defined in advance as measurable criteria, not a verbal assurance.
- Acceptance criteria agreed together — During requirement confirmation we set measurable criteria with you
- Written into the contract annex — Metrics and test methods confirmed in writing and used as the basis for acceptance
- Continued tuning until met — We tune against the agreed criteria until they are met, and do not leave the problem with you
Acceptance criteria are fixed before work starts; if scope needs to change during the project, we confirm it with you in writing before proceeding.
You decide where your data lives
For data-sensitive customers this is the first gate, so we set out the options clearly up front.
Three deployment models, chosen by your data sensitivity
Use one on its own or combine them; whichever you choose is set in the deployment specification during the solution stage.
Deployed in your data center or private cloud, with models and knowledge base kept local. Suited to strict compliance cases where data cannot leave your boundary.
Sensitive data and the core knowledge base are processed locally while general capabilities run in the cloud, balancing compliance requirements with cost flexibility.
We deploy and operate it in the cloud: lower upfront cost and flexible scaling, suited to teams that want to validate results before deciding on a deployment model.
The deployment model is agreed during the solution stage and written into the operations manual. If you later need to change environments, we support the migration; we do not lock you to one environment.
Security and compliance safeguards
These are the common requirements; specific items can be added to match your own compliance framework.
- Choose the deployment scope — Business data and knowledge assets can stay within your controlled environment across the whole chain
- Data use agreed in writing — Your business data is not used to train models, and this can be written into the contract
- Permission isolation — Permissions by role and data scope, so different positions see different ranges of data
- Operation audit — Key operations are logged, and logs are traceable and exportable
- Compliance support — We support your MLPS, xinchuang (domestic IT) and similar reviews with technical material covering deployment and operations
If you already have a security review process or a compliance checklist, share it during the requirement diagnostic and we will respond to it item by item.
Have specific deployment or compliance requirements? We assess them during the requirement diagnostic and write them into the plan.
Ask about deployment modelsThe implementation path differs by industry
Industry determines the shape of the data and the compliance requirements. We adjust the plan to the industry rather than applying one approach everywhere.
Financial services
Data Q&A, research report generation, compliance review and customer service, meeting permission and audit requirements.
Ask about the implementation path for this industryManufacturing
Equipment maintenance knowledge base, process Q&A, quality inspection report generation and supply chain exception alerts.
Ask about the implementation path for this industryRetail and e-commerce
Marketing content generation, product Q&A, customer service agents and store operations support.
Ask about the implementation path for this industryHealthcare
Medical literature Q&A, medical record quality control support, follow-up reminders and an in-hospital knowledge base.
Ask about the implementation path for this industryEducation
Course knowledge Q&A, academic affairs enquiries, admissions Q&A and teaching content support.
Ask about the implementation path for this industryGovernment and public services
Policy Q&A, service guidance, material pre-review and drafting support for internal documents.
Ask about the implementation path for this industryReal estate and construction
Project material Q&A, contract review, customer service Q&A and engineering document search.
Ask about the implementation path for this industryLogistics and supply chain
Shipment data Q&A, exception alerts, customer service agents and a warehousing and distribution knowledge base.
Ask about the implementation path for this industryMore implementation options
Your industry not covered above? We build the implementation path around your industry characteristics and compliance requirements.
In strongly regulated industries such as healthcare, education and government, agents are an assisting tool only. They do not replace the professional judgement of physicians or teachers, and they are not an official basis for conclusions; the specific plan follows your compliance requirements.
Want the specific implementation path for your industry? Tell us your requirement and we will give recommendations for your industry.
Get my industry planWhat they solved with agents
A few of the scenarios we serve; company names have been anonymised.
A bank
Business staff depended on the data team’s schedule to pull data, and industry research relied on analysts piecing it together by hand, so responses were slow.
Connected the data warehouse and internal data sources, built a data Q&A assistant and a template-driven research report agent, and integrated the bank’s permission system.
Data response speed improved markedly, and research drafts are produced noticeably faster.
An equipment manufacturer
Maintenance experience sat with a few veteran engineers, new staff were slow to troubleshoot, and historical work orders went unused.
Combined equipment manuals, historical work orders and maintenance records into a queryable maintenance knowledge base searchable by machine model and fault code.
New staff troubleshoot markedly faster, and historical work orders are reused.
A retail chain
Content capacity fell short during new-product launches and campaigns, and copy quality varied between stores.
Built a content generation agent around the brand tone that produces multi-platform copy and campaign variants in bulk, published after human sign-off.
Content output efficiency improved markedly, and launch cycles run more smoothly.
Want the full case closest to your industry? Tell us your requirement and we will arrange the matching consultant.
Get a case from my industryThe three ways to work with us, and how the cost is calculated
We put the numbers up front, so extra costs do not appear after signing.
Single-scenario project
Suited to a first attemptFocused on one business scenario, typically 4–6 weeks, delivered in one go and including launch and training; the specific duration and cost are given in writing in the plan.
Ask about a single-scenario projectMulti-scenario annual partnership
Suited to a defined pathContinuous build-out across several scenarios, including operations, iteration and capability expansion, run on an annual basis.
Ask about an annual partnershipPOC pilot
Suited to teams still evaluatingUsually 2–3 weeks to validate a single scenario, with an evaluation of the results and a recommendation on whether to expand before you decide.
Learn about a POC pilotWhat the cost consists of: three lines
- Development fee
Determined by scenario complexity, the number of integrated systems and the delivery content; given in writing during the solution stage.
- Running cost
Model calls and compute, billed by actual usage; usage can be monitored and capped.
- Annual service
Operations, monitoring, knowledge updates and feature iteration, chosen as needed.
The requirement diagnostic is free of charge; the plan and quote are given in writing, and nothing within the agreed scope is billed separately. For new requirements beyond the agreed scope, we confirm the cost and duration with you in writing before proceeding. Specific costs are given in writing after the requirement diagnostic.
Want to know roughly what size of project yours is? Start with a requirement diagnostic and we will give you a scope and duration.
Get my project assessmentA few things you may still want to confirm before purchasing
We do not repeat what has already been answered above. For delivery duration, deliverables, acceptance criteria, deployment models and cost structure, see the sections above.
Our data is a mess and has never been organised. Can you still do it?
Yes, and it is a common situation. We start with a data inventory and usability assessment, sort what we find into three groups — “usable as is”, “needs cleaning”, “needs supplementing” — and give governance recommendations. Where data maturity is low, we suggest starting with a small, clearly bounded scenario.
Do you build the agent yourselves, or wrap an API in a shell?
Orchestration, knowledge base, tool calling, permissions and audit are built in-house; the model layer is selected per scenario. You are also welcome to bring a real business question and verify it on the spot — we would rather be judged on your scenario than on a recorded demo.
Who handles operations and iteration after launch?
Either way works. We can take on monitoring, knowledge updates, performance reports and feature iteration under an annual service; or we can hand it to your IT team with the operations manual, training and remote support as needed.
How do you judge whether my business is a fit? Will you say so if it is not?
We will say so. During the requirement diagnostic we assess the scenario boundary, the data foundation and the expected return, and where it is not a fit we say so clearly and explain why — a project forced into production costs both sides. This step is free of charge.
Anything else you want to ask? Write it in the “supplementary notes” of the online consultation below and we will answer it too.